{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Classifier(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "\n",
    "        activate_func = nn.Sigmoid()\n",
    "        # activate_func = nn.LeakyReLU(0.02)\n",
    "        \n",
    "        self.model = nn.Sequential(\n",
    "            nn.Linear(784, 100),\n",
    "            activate_func,\n",
    "            nn.LayerNorm(100),\n",
    "            nn.Linear(100, 10),\n",
    "            activate_func,\n",
    "        )\n",
    "\n",
    "        self.loss_function = nn.MSELoss()\n",
    "        # self.loss_function = nn.BCELoss()\n",
    "\n",
    "        self.optimiser = torch.optim.SGD(self.parameters(), lr=0.02)\n",
    "        # self.optimiser = torch.optim.Adam(self.parameters())\n",
    "\n",
    "        # record progress\n",
    "        self.counter = 0\n",
    "        self.progress = []\n",
    "\n",
    "    def forward(self, inputs):\n",
    "        return self.model(inputs)\n",
    "\n",
    "    def train(self, inputs, targets):\n",
    "        outputs = self.forward(inputs)\n",
    "        loss = self.loss_function(outputs, targets)\n",
    "\n",
    "        self.optimiser.zero_grad() # set gradient to 0\n",
    "        loss.backward() # backward loss and calculate gradient\n",
    "        self.optimiser.step() # update parameters\n",
    "\n",
    "        # record progress\n",
    "        self.counter += 1\n",
    "        if self.counter % 10 == 0:\n",
    "            self.progress.append(loss.item())\n",
    "        if self.counter % 10000 == 0:\n",
    "            print(f'counter: {self.counter}')\n",
    "\n",
    "    def plot_progress(self):\n",
    "        df = pd.DataFrame(self.progress, columns=['loss'])\n",
    "        df.plot(ylim=(0, 1.0), figsize=(18, 8), alpha=0.1, marker='.', grid=True, yticks=(0, 0.25, 0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import Dataset\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "class MnistDataset(Dataset):\n",
    "    def __init__(self, csv_file):\n",
    "        self.data_df = pd.read_csv(csv_file, header=None)\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.data_df)\n",
    "\n",
    "    def __getitem__(self, index):\n",
    "        label = self.data_df.iloc[index, 0]\n",
    "        target = torch.zeros(10)\n",
    "        target[label] = 1.0\n",
    "        img_values = torch.FloatTensor(self.data_df.iloc[index, 1:].values) / 255.0\n",
    "        return label, img_values, target\n",
    "\n",
    "    def plot_image(self, index):\n",
    "        arr = self.data_df.iloc[index, 1:].values.reshape(28, 28)\n",
    "        plt.title(f'label = {self.data_df.iloc[index, 0]}')\n",
    "        plt.imshow(arr, interpolation='none', cmap='Blues')\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "mnist_dataset = MnistDataset('mnist_dataset/mnist_train.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training epoch: 0\n",
      "counter: 10000\n",
      "counter: 20000\n",
      "counter: 30000\n",
      "counter: 40000\n",
      "counter: 50000\n",
      "counter: 60000\n",
      "training epoch: 1\n",
      "counter: 70000\n",
      "counter: 80000\n",
      "counter: 90000\n",
      "counter: 100000\n",
      "counter: 110000\n",
      "counter: 120000\n",
      "training epoch: 2\n",
      "counter: 130000\n",
      "counter: 140000\n",
      "counter: 150000\n",
      "counter: 160000\n",
      "counter: 170000\n",
      "counter: 180000\n",
      "Wall time: 3min 18s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "epochs = 3\n",
    "C = Classifier()\n",
    "for i in range(epochs):\n",
    "    print(f'training epoch: {i}')\n",
    "    for label, image_data_tensor, target_tensor in mnist_dataset:\n",
    "        C.train(image_data_tensor, target_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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N3fHcv7t47t9dPPfvJp73dxfP/buL5/7dxXN/OZsEGDbx/wbw/9Ra557n/R8A/BMA/4tNf1lr/Q8B/EMA+Nmf/Vn9jW98Y0uH9fp885vfxJt43NQdz/27i+f+3cVz/27ieX938dy/u3ju310895ezyRKJRwA+dP78oPq7mtb6ldY6r/74/wDwH236u0RERERERET05tskwPCbAH7M87xPPM+LAfwXAH7d/QHP8+47f/zzAL5X/f//HsB/5nneged5BwD+s+rviIiIiIiIiOgtcu4SCa219Dzvr8EEBgIA/0hr/R3P8/42gN/SWv86gP+T53l/HoAEcATgl6rfPfI87/8GE6QAgL+ttT66gs9BRERERERERNdooxoMWut/AeBfNP7uv3b+/38F4L9a8bv/CMA/6nCMRERERERERHTDbbJEgoiIiIiIiIhoLQYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqDMGGIiIiIiIiIioMwYYiIiIiIiIiKgzBhiIiIiIiIiIqLONAgye5/05z/P+wPO8Tz3P+y9b/v3/4nnedz3P+5bnef/K87yvOf+mPM/73eq/X9/mwRMRERERERHRzRCe9wOe5wUA/hsA/ymAhwB+0/O8X9daf9f5sX8P4Ge11nPP8/6PAP4egP9N9W+p1vqnt3vYRERERERERHSTbJLB8PMAPtVa/0BrXQD4ZwD+c/cHtNb/X631vPrj/wTgwXYPk4iIiIiIiIhusk0CDB8A+Mr588Pq71b53wP475w/J57n/Zbnef+T53n/q4sfIhERERERERHddJ7Wev0PeN7/GsCf01r/cvXn/x2A/1hr/ddafvZ/C+CvAfjTWuu8+rsPtNaPPM/7OoD/D4D/pdb6s8bv/VUAfxUA7t279x/9s3/2z7p/stdsOp1iNBpd92HQNeC5f3fx3L+7eO7fTTzv7y6e+3cXz/27i+d+tT/zZ/7Mb2utf7bt386twQDgEYAPnT8/qP5uied5/wmAvwknuAAAWutH1f/+wPO8bwL4GQBLAQat9T8E8A8B4Gd/9mf1N77xjQ0O62b55je/iTfxuKk7nvt3F8/9u4vn/t3E8/7u4rl/d/Hcv7t47i9nkyUSvwngxzzP+8TzvBjAfwFgaTcIz/N+BsB/C+DPa62fO39/4Hler/r/hwD+ZwDc4pBERERERERE9BY4N4NBay09z/trAP57AAGAf6S1/o7neX8bwG9prX8dwK8AGAH4f3meBwBfaq3/PIAfB/Dfep5XwgQz/u+N3SeIiIiIiIiI6C2wyRIJaK3/BYB/0fi7/9r5///Jit/7HwH8ZJcDJCIiIiIiIqKbb5MlEkREREREREREazHAQERERERERESdMcBARERERERERJ0xwEBEREREREREnW1U5JGIiIiuRiFLCFUiCnzEIeP+RERE9OZigIGIiOiaFLLE5y+nSIsSu/0QHxwMGGQgIqK3DoPp7w4GGIiIiK6JUCVOU4EkDlFqDaFKdryIiOitkhYK33kyxl4vRBj4DKa/5XhmiYiIrkkU+IDnIS0kPK/6M1GLQpaY5RKFLK/7UIiILmSaC+hSw/M9aJjgOr29mMFARER0TeLQx/29BIUq8f5enzM61KqQJX7wYopCldjpbW8pDVOWieh1sMH0eaGw0wsZTH/LMcBARER0BTYdvEWBj5ADPFpDqBKTTKAfh/XsX9frxQYtNDSSMGDKMhFdGRtMD30Pt4Y9tjVvOQYY6K3AWRgiukkKWeLT5xP4PtALOHh72131M8hdSjOMg63M/l1F0ILeHuxX0bZFgY9+HGzteuI1enMxwEA31qYNRyFLfPvRCULfx27CKuz0evEBR22EMuvl+3GIOODg7W1WyBJfvJpCaX1lwSQ7+ydUiQ/2t/P6VxG0oLdDIUt8eTSDUCWzW94Rb1pfxgbxZ7nErWGMD28N34jjflcwwEA3UiFLPDqeQ5Uage+tfbgJVaIsNYLQu3GzMG9ag00XI0uNT59N0It8+N7665TeLRy8vTuEKnEyF1ceTIoCf6vPkqsIWtDbQagSJzOBJA5uXL+Kti8XCp8+nyJ5g/oyQpVIC4V+HEKV3IHppuGZoBtJqBKZVMik+d911WaXqrDj5lRht7NaXx3P8Oh4zsrfb6G50JgVEiXAqsi0xA7eDnd6b0RnjS7vpj6DNhEFPgZxyOuTlkSBD+3hjbym6eJOM4F5IQG8OX2ZKPDhVdcouAPTjcMMBrqRosBHWZqGYxCvrzZ7U2dhXtesFl2f0Iepipwp7PZZFZmWbXvGmW6mm/oMIrosXtPvltA3QdLZG7TDQxz6eH+/j1Qo3N1JeI3eMAww0I1kG46TtMB+Pz634biJHXmmSF9MLhRkqW/ceVwn9D3c30sQeB5uj1gVmd4+XOa1mZv4DCLq4iLXNNuJN1svejN3eDBZDN4bc7zvEgYY6MaKQpO6GW3YcNiiajflAccZgM0VssS3Ho0R+z52+1dXqPMqOkFR4CMJt1cVmeimsNsYxqEPD+BSD6JzvIsD7axQ+PbjMYZxgH7EgpBvqm3v8EDvNgYY6K0gVIkn4wxZoc4tCvk6cVZrM0KVgNYIgu0U6mzr5NmaGL7nvTFFjN5172Jn/SaZZAKTTODOTg+l5jIvonUKWeK7j8dIYv+d2po2kwrQGr538wptE9H1YAtAbwU7QM1k+cYUqKGFbRZJK2SJz19N8eQkXSquaWtiCKV5jbwBbEDoyyMWSb0uvucBnodJ9noLvRXSZKPxnF+vN/k8FLLENBOv9dhzYQpSq3JRKK/tO+z6vd6082Kf37P85hWE3MZ3VcgSmdQ35vumzRSyxCR9vW0ALTCDgd4KrHfwZmtbTnLZ2WuhSoznAoM4RD8O6tkUe41MMoHDUY/XyA3nFkltzoptO7OBmRLt7H0Z+R4OXtO63EKW+PzlFB6AMPDf6Fng67yuur53IUt8/8kpSq2x14/eqPNQyBJ/+PQUqVC4PYrx4GD4Wo697ofkEoMogJAlvvvkFKNegCQ0GQ0A8EfPJhCqvNT3agPo47nAwTDGR7eu/rNpreF53sp/t+2E1hr3dvs35jopZIlvPTxB4HnYH1zuGi5kiU+fT/D5WOHR8Xyj1yhkiUIqxFw62dl57ZhQJVKhMGoUprTnbZZL7A8ifO32iOfiNWOAgd4KUcB6B286dzlJIUv80bMJclni4IIdA9vJmxcSAyfYdB01Md7kget1H/uqoGEhS3zvyRi96PJpyO5nA4Avj2bwAC6daWG2MezWUb7ItSRUiXFqAkvBG7z7TlYofO/pKXZ64WtftlfIEp8+myAKvEsHaYQqkUvVGuC76YQqkYnq2MvXd+z2GSPLEu/vDTDJBKA1Qt9fypqbF/JC36t7/whVIi1K9OOw/ntUr3Odz5ko8BH6N6vYnlAltNaIouDS17Ct7ZWEmy3/uK7g1tvI9gOT0Iff0oYWssTD4xRaawhV4mMniCBUiVyY+0RV/87z8HoxwEBvDdY7WLjuwWFXQpUX7oRZ6wIJm14j2/j+bOErd/bqTTkXtpPk+95rLdrV/N7bzmMuFApZmk77BgPQ5mvawoWl1uhHAfYHMY5nBXb7EaLAu7aOiO3Ivm2zXoUs8dXRDMBmAZy3JRvtNBOQqoTn4bUP0HOhMCvMtRQqXV1X8ZmfK6RpZ9u+4zf5PESBD/geTtMCSCJo/XrfOw79pay5ed7YxvgC36sdZAUB0AsC3NlJ4HlmC+9Rz3y27z4eQ6gSh6PeG/WcuWrbuIbta2RSb7T847qCW1fhujOwnk9SjLMC0agHD2efzblQ0FqjH4dAo0aQ2V3C3Cfm2f5mnoM3GQMM1FkhTYOaRG9Xx/hNNcslvvvkFLtJiPgNTTHu2jHoEmwyUfEZClV2KtSVije38JVNO3yds5c29dd2xh8cDFvPo3ttDM65NgpZmvoNqqzvBaFKTLLF0gsAgOfhNL2+pTO2SO282gXnTbxnVxGqxNGswLAXIYnOD+C8LbvvLDKpzqbvvo73FqXG45dTjJIQUeBh2AvPzP7ZFGJ43pl95N/k8xCHPg5HMb56NQfg4cUkQxy+xs+gF8fRto3xRb5XN9geB4DnAe/v9zHJBG4NevA88zNvYqbJVdvGNWxfY7+3WRaS+3zqR/EbO7DNCoXf+eoYgyjAIA7w8eHmSwy2sTzr9x+dIBMKL6YFYt/H7ZZnc+B79XcdD5aDCHFotrqfFRKH3EL8WjDA8A7aZlTSpmLOCq5zuilmuazSMt+8ga11nZ1boUqcphJh4CP0Lp9atyh8pXAw8N+ojsZ1zF4KVWKSSvSiAErplUU4m2nI686N6ZwraAAaarEswvlsw1547QMpW6S2UBrhG7wsoM3iPhDoR5sFcN6WbLS9fohBFODuBdelTzNZLfEKMUou3k2zA2ypFHaTGGGVWu8eg1Al5rkZuKaFbL3m3vTzkEQBcA0ZJK62bYwv8r22tcWy1BjEJmDkDrLetEyTpqvaRrrr60WBj1642fIP+3wqVIn7V1yP4iozDE7SAi9OMyRRiH7k485O0poF1XZM33p4gtD3Ll27xRRK1djtm/fbW7FM1u0nNgOkgF3eF76x7debjgGGd4xNV81EiUHcPfXZrNPkOqeb5Dpnzrbpujq3UeCba7mQ6IWXT62zDz8ArQ+/m+w6AjzmujUpjb3B+u/dTUM+7zWV1siFwqgXrVx6cd0DqTc5Hf08b/JM+GUVssTjkxTzQqKIStzd7W/8u9NM4n/87AWE1NhNQvzM125dKshgitxGEKpsTe22ywjSwmQwvE3XHPD23FNt908q1Np/fxPZvqks9VLm5Zu43DMKfIRXfLx2lyUP3hXWePGAKjy/KVv3IgwuX/fCvXejMMBePz7zGoUsTdsFMIhwQzHA8I4xBbQk4tCHVGXngADXOd08tsPxOiu/v01sal0mFO6dExiQpca8kAhWVNi+7oFrF5c59i6dwYt87xd9TZtO7K7PvEnnZVtFam9qZ/ymfd9WLhRkqbd+bEs1ZC4YeD+e50hzhf1hjBKmfblMgOG8a6qeaZU373rZhpta+Hld3YtVzrt/bur9dRFu3zQKFgUxf/hyClXq11oL6E3g7rI0cHbL2pZBHOLubg9CKby328ewt1kbtI3Anhs0s9e2y9QlOYVUGjOh8NGtwdrXe501WGiBAYa3XLPDGQU+NHTrmqXL4Dqnm2kbld/fVJfpwDVFgQ+/ChrMqnXxbRH0Z3ONO5Mck9QE2N7F79uyxROnmcCtS1bPtt/7Nr/HbaRJvo6B+yaDhKxQkGWJtkKQhSzxew9PEHVITX2XTDNpdnlIgk61Vtosr8O+WCe7FwaA7+FkVuDWMMYgvnw3bZOBaei/vdfITRt450LhW4/GZsTTUvfiTWcL1V7mO7fZZqa2jjlvZrli+1bF77qryNARqkSZ63pJz4e3BhcO0NngwLyQ2B+cv6RilbbAgjXLJT59PkUShciExOHo8u9DV4cBhi0oZIlMahTyZjV+tsPZC33s9MK6A7XtWUKuc6KbwqZZHs2Kzh04oUp8+mKKOPRaByBmeZCpYGxrBrxt98BFOoxClZhmEkkcouxYPfsmTTgUssTnL6eQ1zyLVsgS3348Ruz72O2HrdcjOqamvkvmhalVEzlbCHb9vtz7xc7A7SUXCzwOeyF+6sEe0kLho1vDS2Uv0PVYkchWy6rCv+vqXrypbKHa20MFD2htJ9cFat1Z6/f3nNoFb8Eyl6uw7aUxhTTnD1pjnkvc2Uk6BejGqUTg5TiZF1e8fOOcmw7n35d0NXi3dmSLHD6ZVtXKZXthsutgO5xuFXuAAQF6ewlV4nhWVNsWrS4UuOlr5UJBKizdP5aZbTfLgzzv/O2r3jS2w/jZi+lGbVsU+PB8VGu6r+b7KKQZwHU5rxdlUncFSt1+HbzO44DWCAJv5fVoO+Pumnv7nd2kZ9NN4Naq2WT7ufPY++XR8RyPjucATJpxdInn7CAOcXvUu7LgwnXcR7R8j77uuhdX3Q7Y9klr3do+FbLED19O8fQkXfk8afZN7SD6cIfbb7bZZl/enr9+HEKV3ftO0BolLv7MzIXCJBVrf2fYM8s3+rGPu7u9TlledHV4VjoSqoRQGqF/vZWK27wtRY5ep5u6hpk2EwU+9JY6cOfdP3Ho4yDxcLjTw07v7VseUQ9oN9xm03QG+8ilWbO57e/Dbh8qlcY4k3h/P9nq66+yjXZ0G+3KJtdjc0bLZrEloY9R72zWw7ts27Vq2nYCuY5nbi7U0vXWZLO8JpnEpJB4sN9nB/01aa4tf133Yi4U/vDZBIM4gO9dTUFA2z6dpmZHsea1lwuFV9O8Kj66ec2Am7bM5W3lPl/s8mlZqvN/cc1rTVdcC6sUssS3H42hqyVE9/eS1t91l2+sW0pB14tPlY5skcPMTNrdqAt9WylU78qg264hj0N/ZYof3Wzb7MBtUiQs9D0zS3mD7vttcTscgw0H1lFgtk27ivtGqBKTTJlt2Tpmp1xE13ZUqBJ/9GyCKDABr8u2K3Foth5MC1VtGXb2NZqdcTvo9TYMEr1rtlmr5iYE9LNC4duPx+iFPnJZtnbQhSrxalrgJC2Q5gooNT65M7rQ+7wrfYKrcB0DonEqkAmFYe/8WgZtwalClucWQ7XPSw9obZ9KDbyYFkCZ49Ywxgf7Zwvz2aR3ev3c59zdnQSB7y3tVnIR510Lq9gdKNwlRKvuFQYWbj4GGDqyNQ32ele1TUw3XaO/hSzxncdjKFXi9ujyaWpXVa17m05TgUkmcHcn4ZabG7ipncxtPniuYvbkpn5vTbaTIFWJ929AFfYo8CHKEoXUK7NTruq7vch10OyguzsK2JntyxxbIUu8nBaA1ngxyRCH55+TmzDofVc0A5LH8+K1H0MuzRp/NwjXPOdR4CNTJdJcIemFCALvQsE6mxUTBz52E2bFvAlsOzDL5dqtq+2SX88HkjCol/c8PJ4DGvDP2Q4xCnzEK9pJzwMOBiE8eDgY9Lgu/gZyn3Oq7BbqWXctrPud17GEqEs/4U3pv90EDDBsQRT46IVXM2t33YQqIVXZqYpvIUt869H4TLHJmybwPcDzMMnZGT9PIUt8/+kpCqE6BZ7eNTZLZpIJHAxjfHTr4jstrHrdqxpYX7ST0MW6PqedYbHb6jXvz0KW+PJoBl1qhB0yBbrICoXvPz3FqBci8D1Eob+1Qb67RnbTtnjbhcBovetO566vtXx1Bz0OfXx40IdX1fOIgotdk/XSKf/tzIp5GwcQ0YbLgYQqMbPbq2Kxdv54ViDpuB2i1sDxXMIWs/n4cNjlI9EVuq5tHZsZqFdVx+kPn54iu0TfNS0Ufv/xGKNegCTktqnnYYDhhsmFwrwwaUnD3vUXYtxG57it2ORNXK5hH8Jx4GN/EF/7dw/c3M6OLYC4ze2jTD2T8sbtxrJNQpXIqu/Nft5tVH/+wYsp4Omtb7d300TB6m313AKfQYdMgS5Os6o4lbeoyTOIw60M8rU2VehFWWIY9zdui6970Euvj+2gS1UiXNNBH8QhPrkzulRH/m3OirGFCEPfu7JaBee9/5X1bzZYDrTq3OqtnG+NO6MYURBgtx8yg+GG28Z235dx1UsfhCqRXrLvanceCre489DbjAGGbdhSQ1nIEr/95TFenGYY9EJ87dYAHx+OrvUC3sYM2HkdkraHaiFLzBtVrq/y4W/fDwAGNyCwAyyK2qVFiUF8swaO2+5kulskQZv6F29jwMHWbEkLiZ1k8+JH65jaBGav8HiLA+s6APKGDCBuwsDHHsO8UNhxUpG3sVTthy+nCHwPsrzYulZ6Pez9ct0DbnudnTcLedmO/NucFZMLhdNUYG8QwfO81zqAKKTZicxeQ9fxvG+eW7vMZxvnOwp8RGEAaI2Y6+dvpHkhkRYKngZeTHMzoO643fdFuEGNTa8P2+6uW/rj6tJPqJ/vucJu/+2svbVNDDDcIHY5QhKF0KWGUBevA3AVEfCuneN1HZJClvj0+QSq1HWVcwB1Gjk8D8M4BHqm8TtNBW4N40tFD1d9N6Zy7QnKUi+933UTqsQ0V/A9D5lUNypauu1OZjP9e5bLOuBQSIW7O/0bkdHTla3ZMs0lbm+hcj1wNQNrN+Djed4bMaC9CQMfewyh7+HWsLe0Dl8os03cZdpSkzFUYrcf19uivimuaybsdVoKkFYd8jrg4L9BJ2tDb2tWTFi1padziduj+LVes3ZmtdRAiet73red222c75vQPmeFgixLxOF2Cru+TWa5xLcejoFS4/NwilES4tYwqYstXvX3ZXe3OZoVa3eQcNmtgW29mY9vnz8h2+U6tL8beB5uj7bTf3ubMcBwg0SBjzDwkYkCHjzYquObsmuQPacYz02x6gFlO93NNX/TakbWNm4A4HtVjYRMYq9/sdlf+93YmUV3dkCoEmWpz7yf/b3rWqIQBT6ggVRsb7Z7m7bZybSD5NO0gI8YIjYBhzDw8f0nE0xSeaNqPdjrQl6iEJJJVd1esOQqOm5uwCd7TR2MbbgJA58o8NFvpCLbjtAkE5dauxkFPjwfV178atsKWeLzl1OMU/FaZ8JeN/d+SQu5FCCdZRKj5Hq3sb2pS+2sm3J8ti1Vpcb9ve1vtbtOFPiQpUYuFEa9m/e834brbJ8LWeLbj8fwNHB7FN+YvsRNMS9MfYz9YYxUSOSifK3PG3eJY3MHiVXBebfdhd580rHLdRgFPhIGqDbCAMMNEoc+Pro1wOEohgfgaxtE41zuDWqL8dx0K2dfWyrJ2of/Rbe+Aao08lQiCn3kanl2YFXlWrtEIZfltRR0sbPdR/Mcu0n02t73OsSh2YLv4dEcngecpAVkqZEKAcBDGN6cNW+FNNsOagDHmYmcJ2Fwrce07Y6be094b9CA9qayHSFV4kz7swnT9vWRS3Xtg7CLEKrEOF0OFr8px34RzWcIgEVG1mvckchmi8TholaJUCbIo7Sun2Ou616KZp+zSl1fcVbXdRXtts/7SSZwa3AzZ0dvSiBonVXHaNvgZIt1o7Z5fNdtEIeA7+FkVmCnH+LBrcFrDQhFgV/X+nD74UKVeDrOoLU+UxjbbXfjwfaDcl0mkogBhit1mYYkCnzs9U2A4aI39etcg9y2V/JlrJp9vb+XoLAFqBqpepepau+ufd9tZD+cqVzrZDZMUlVv43VdD6RxKpHmJdJCXXvn66olUYAw8BH4Hnb7IaTS8ABIWcIDrnyga69roUqTMdNCqMW2g6VG50DeTexwuPdE8367acebC4VCluhF1xvkWcdtmy+bjRRV90Ub97q9ScGgVcHb81z3oPei7P0yL0wdH/dzh75X7XxytZ/FLDecIpcKnufhvSrF2A3yuFmCwHKKsa1987q/b/c56/vbDca0XUc3rf0CTOq+qopmbDO7ratmm/LFqyl8eOduV3ldClmeOUbrsv1jG7TbxiDTHp8s9Y3bhWDYC/FTD/aQFgr3d/soyu4TlBdZFnimH+4EGHQVrLX3rhtgsL+z7ey4Qpb4g2q3iZepRiFv/oTtTcMAwxUpZInPX00R+j48vJ4H9+ta41bIEp89nyIOTCM+7C0uo8uscXMbE9sY2eUi22JnB2aFxGHL2qm2ojJR4KOERlEoxBdckrEtNuoeBB5ScbPqMGxq0w6dW0AniT2cpqZzHgQ+9obRld9DNjNhXkj4vod7u+1rAN2Oiu91C3rkQuEPnk0wiAIEN6zTZu8Jd0ibC4VvPbo52zTV26XKEoej3mJbyGs8nnk1qHS5HaFt1d5w39POAJ9kEvf3kk6vtc3BV7PTuMlruvUMtNZ4cLCdrVxfh3FqqoxHfobDUQyhSpzMBZ6MU/Sji98vFzkfQpXIpVpa1lQ/11YMrJq1b67j+RIFPoQuURQa/Wh7dQ/agicA8OmzCUoAwxtSOHmeS3znySmGcQBZatwaxtd6PFazrsheP8R4LjBKIvT811sAc1P2fnOP0Wr2jwGcO/h1t5U+zszylU0D2XZw3YsWfWGhSozn4tqzKFYZxCEGcYhhEqJw6gddhlAlnp1miILF9vTnWdUPt+1X29Khq8qyEGqx45et8bAqwE/tGGC4IpNMYDwXuLuTQL3GFMnXkdKUCYVpLkwmAEwjHgZ+1dmfIPI97PUvNiAUytRIKGSJftUgbxJguKqZO/u6d3Z65n9H17N22G1cB/GbV7XWrsEOg/MDbXYQ5ntA6Pk4TU2WAIrLFca7KKFMlkizg24/h9vRPxzFSAuFnbhbgGFWSNNpCX34WO60Nd/zJsy8zQu1tS1nt8HOTroDpOu6RwpZ4tMXU0BrTDOTqeC6yo7Q8UyYjm/1rLkMGxQ/nUscDCN8eGs7+9S3dRrXcQe9ZXn919immoN1m3HlASg1Lny/CFXi+09O4XlYKoC8yqplTW5wqznxcNVZj5u0WXbgV8gS93e3V/egkGeDJ4Bpc68zoNKUClXVG/JgC3vfBM26IgAAz8M0E0hGvRvZF7HX86pjdNuiL15NEZwzASjUYocmm624SYDBBrfmVQDDvr67DOCi91shzYA3iV7v+v+LZCE0f68sNfzQg6z66JcpTuy2X+7SIbfffxXXYlv2XXne1jy0hAGGLdFYvvBsQcJxJpa2K3sbhL5XNeISt4ZmxsE+rIVUQBCguOCSAhvZ7UUBylLXQQuXnR304rD+86fPJua9Sr226mwhS3xxNK92JSjxyeHqRlrIEn/49BRlCQSBhzs717ce0m1c9/vxtXeGLmqWS4xTgcNRb6MOnVn/Wq0fvkRqdRdRsCik53bQhTK7jAxiM2t/ZyfBy2kBaI1JYYojmSKhF3/wu1kb+4PFg9JuWVZUSxTu7CT48tUMs8JUN7+uWV17vLNc4WBw/VuNvc5lYedJqz2yTWf09Q0UTKZV9wKQQpVI8xJJvGi/mzYNcnVZQuee02SLM9pXbeW1eMnr081IaC5taLO0rMmpwWCPre2crQs+bGrd7kw/fDlF4Hl1dpZ9hg/iEKNk0f2MAnO822zTtn0+ror7DPD9m1PvpjnAsrPbV50h28WmWbzTXODknAnAQprgtSz1hbMViyo4I0sgdLaOvmyWsZtJsduP8Mlr2r7eBkqmuUAvuFjGj3v99Kr6CPKSyy6a7Vcu1FJ2TZesvVXcczXum5osmVArf/4mTADdNAwwXBF7cdrtym7SBdc1CGc/W6k13tvtY5bLqkEFXkwLoNTIirhOQ9uEiewCp2kBJBFGwfKlWcgSf/hsAq01xoHA/sCkn9rZCKHk2g7t8uzS+owSoUqocnnN16a21cg0MzOiYLkWxeuwjc8SVMGo01ReaN/gVevxrtpeP0KpNYZxWAe4bCReazNrP3cGkkJpPDyaYzeJkYmL18iwn7NZuFQoZ8syrTAvJOaFQhj4mKYSs4FEHL7+VFp7vABuxI4AzQ7bcce0zi6WB8Zm8HLVsyzA9u6VKFjUqbF1Ity2z64fPm/Wz/7cyVzgYBjX38VlPs97LTPar7sjd5ElXm3X4mUH8JcJntXLmrzNn/OLoKbpPF90CccfPZsAAAaNJQdClTitaj8M4gAn8wK/++UR0qLErWGMn/naraUgw7atCp68rq0SC2lmfoVaXwTYXu++B8RhAHVDCsqtaldu+gBqk0yx8yYAbTaXD/PM3xtEOEg2L/y5CBoJ9KPlTIrLZLLZ50g/NnWpXlfmje03SwVofbEluu79d6/qK8hiO0H3cSqWsmuuKphvz1VzyWPTTVs6elMwwLAFq9J+ouDsdmVviygwBcfi0Mcsr/7SA+7smBmnURxeKB0qCkza+Vev5pgWEpks8d6eubmFLDHPJQqlsJvEEO7s2Iaz3FHgQ5Qa6Syvsy4sO6tiDeNwUaDrAh12+1DSGoirtLjLsMsKlNYQUuPWa96P2z0GWepLrR22bCdl032DTXCnROj7S52ay6bpbcquYz+u9mAexsuza6azINGPYlNtubo+NEyWy6AXXDrlNgrOFi6NAh+q1MiEwrBnZo6kLvHoVYbA95HEAYa9cKkzb5cLXHV7c14HSaiy3mb2bVkWtgm3Q76bRGYG98UUQeAhCoKVGVZ13YZz2ppmltw6l8kgiEMf9/cTTHNZ14lwO26TrJr12zXb+K261s3aVdMZzoVZt3rR9mvVOXU7/hetWXKZwITd3hga9ftd9Lgve31uI7tgE3aW8slJilvDGB/e2jw7SqhFwdtm+9cMkAhV4rSQ2OlFyEvze26AoW3NelfbPB8XIVSJT59PkInS7N5xe31avc3c8zwPqlw9S/q6XTRgKVQJqcqlZ9Mqzftxmkm8nOboxwGAXscjX++8CUCbUduPQ0RV+3XeINNl711Zlnh/r/u9GwUmqGvupdeXEb10D18iE3ub95ptH+rnSXVconoWmUK6m11zXZZS2gknd2yXVcucgJuxdPSmYIDhHXCRwVmX2SHTmAT1esLL3MBJFCytgQeAh8dz5EKZ7AgAgyisj+8iM3fm8VAthq3Y2bYXkxwvpgXu7MTYS2Icjszs8CDe/BZZeigFl99dQCin6re+nnXlS8eAxWe5zLURBZvtG2w7upFvlt8Mqgea/ftclK0zp+uu2U2vZ7PWUi1FxG0Gg+0suHuj1wX7+mbwOM/VxhkaHs7vqMShKUr6apZjVHXWDkc9FNIE2cLqe7G1Ga67ErxVD1a0xuGo1+lY7MD7pqQMb8Jthz57PsHRtEDSC7GTtN/HaaHwnSdj6PLyqZ7NYmyHoxiTTGCamayhONw8gyAK/JVV7O2s32kqMFrT2bzKzrBtYwdxiH41aN3k+rKBCVW2b9W47v2uc+vnS3fQLzAJ7mb3lWsCR21Bq3VZFs3solkmcTITODotcDCIETlLOOo2vlA3doeCi7B9rlUzrG5AuOt7XHfhOdtOzwuJl9MCnjZ/t+4cFrLEV0dmC/B+FGC/H+M3Pn1hipX4Hg6HPfSioPNgcJ11E4AXmbxa9/p2WURXtj8wzsRrXSrrBjkPBqZPfJUTPavY9mEQBZhkJoPZ7trzalpgPBcA5vj4dvvSkUKWmOcKj49TJLGPo7no9KyNfX8pY9WdhErCN2dZ31VjgOEtZ2/MrFDnzsDYdV6Rf7ltiNwOxb1LpE+7jbpdA2+jhbt907jt9+OlXSA2jbALVSL0PewkydKaOKFKzPPSBEZKjSjw676ZLaq4aafyMimt571O7wKDA5f5XBq9C+zmseoYhnEArYEvj2bwYAYal83OOO+YoTUGveXAiv1730NdaMl+pkKaQmhR6J0ZOAhlamn0o+DMllVtn1drjbRQrR0KM8PknbnukgtmaFzUOJU4nQvkwnwXYRDgNBMYONfX8vKf7UfPCydAeZ5tHUtamN017KD5JizHuIhcKrN8qxcgzSUGUXs7NckEdNkt1dP9ztNCIi0UhNQIAx+5LJfqiZxnXfDLtu+R7+FgzbK/Zme42OKgvO7IFXLpHjiPG/zdpJ5B8/1u0pr9bTizdKexVrrJDghlqREHfr1by3lryt0ASRZ4+GN3R4Dn49YwQhwtB4nNvX7xYpibfNbXPShaN0AVqsRXR3MIpSBkiff2+hd+fTcYv5dFG++eI+R2v4tClvjWwxN4AGZCIfSB3SQ+cw4LWdbtm32mj1Np0uZViSenKTIhcGfUxyQVOE0LjI/NbjzjjjvjXMZ1LdFcJwpXB3+v9H2dz2/rQLzuOlD2GQcs2gd7XKHvVTs9tLcb5n7LMckkno4z/LH3dpaKIV90px7TR13OWG0uG3+T+ipXiQGGt5y9ITJZnpmB8RprGDKh6iIyES63DVGXlCg3WhoHzi4S1YM6CgNzbJeMJtvXcV8jCsx6VaEUUG1rNIgutzPAeZ2ty7zOTi+q98felEnrncOHh3Eq8PElCgI1P0shFY5nBfYHcfV9bX8mbxEFVkuDB/v3k0yemTkVyhRC8/32Pd5TodCLA3hYf8x2UDQrFtukbvqtR4GPwFtsibXNjjG0XtrSqs7Cabz/VQ2CbEf2ZC4wjE2By3W2dSw25dAdeL9JD+3Q9xGFAUYAkjjEg4N+63exKtXzsmv14XnoxwGkkku1FDZ13jIMk+FwftDS7QxvM8Bw2Ta27brcpA3bVpu+znXUlGhmvOz1TVdw1WcUymz/14uCOjvPbZ83OfYo8NHvRUBV46YtE2KcShysCHJcRltmRFebnC+3L9McoM4LieenOZLIx9Nxit1+dKYvdh77bAiDYGnAdd7vfHmUwdPA7VG8lSwRoUro6hmVSwWl9Jm23y4zKmSJWaHqpWIa5me9XoDxrMAklRjPpzjcMRl6NgOky844XdyUwMJNIVSJaSavZXcft/22fcNCLS+T9npBtUxi+bhsgNH8ncbxPEcUVK9RBU4zUZ6pIbPuONoyVqNgsWycDAYY3nJtM9Hzoj2tzu4OMUlNpfrraFxto+7BDKPWPagvwu0ouhkQdmA5yUPc3zczCV1m3boEWNpeJwp8KKmqjAR5Zq1+m3kh8eI0QxKFKKSqigdevCCg+1l01RkdzwvcvqItquy59j0zCzKr6mLYv2+bOV03oK0fBtlmyxfM4GmzJtHOAMpqUPjlOEMc+NhNwrXF7+zvbaL52QA4WTiLJRJXOQiyHdko8Daa+XXv1y7Hcl6Kqvnuu6UYX6VN262oOnduqucjf75R598d6DTfa6cXYZIL3B72zDZ4b5hFCnlUrcleuEwb23aPXOQ+7Nqmr5pFtx1cVWXPbS0zzD5AVxyLDd6dpgUeHs2RRAHgeXiw3/47UbDYqWQQV0shL2hdO2WvYWC7xWPtZ01bJlguQ5Yanz6b1EtAz9t2efUzx25k2h5YyISCKkvEKzIQ254N80KuDU62BazblhReZFmaexxRGOB+tbTUPb/uMiMbLLD9rkwoDOMQ81zhpz48wMm8wAcHfewPYnx5nL7WXaTeJBepJbCt7S2jYLHL1uve3ce2D1KVeH9/gFwqFGrx9/NCIitKHM3y6hpaXH/2GpWqxJ3dpA5w2SDzJDP1jzbZ+c62YW0Zq0KVyITGbhIxyFBhgOEKCVVC53pp/fnrnq1wO593RgmenaZ4fppBaGCnF2FvsNir3d487lrzm2BbkeRVHcXmwDLa8qzbOptcD3YWBlpjkokNi3DZHuZ2KlLba8M28OvWVna5vqPAFLuKQx+zYvnv22ZON+m0bnv5gjsD+HJe4tU0h1AK/Wh1ocdCmq0uo8AHNHBrdH7AJ2p8tpfTHMdzsTKYchVtin04u9tSnndvbONYmimqzQf5k3EGT2voEhunBze5g76rsGm7ZX/Opnpm8vxq3bZ2jFcVO7QZA+5r2gyCiwQYNqkPYt//qp5j7v2lSo2PLlB0cJ2rukfO08wCau60cDwTSOKgXrp3Vcdgs2PcQaHUQBh45y7Rce/H9/f6OEnFpY5j3Tm4ivOz7ewuWQKzaptNd6nlRQziEHd2zbP0vd0EgzhcukdNpsHcLH/oR61Bp2a/7ntPT8+twXPed+FuhWiXpZ1n1VKCVZMAbrAgCnz4nodhzxRN9rTGwbCHvarGwHkB2lVtkHut35Q+7DbZHdWiwLTt65aPFNWW66lQFy7g2mTOSR+5VOcuAzizBGsDuVAYp1WdtZbaPVGwKIadS7X091HgYywFepGPKFjOvm4G4O1Wq/bfNEzQJN4wOzoKztYUc59ZZanf+Boy28IAwxYIWSKXeqlBsxdc6HlIC1U/JH74coqsKLHbXz3TeRGbpusBJsL96GSOTJRIc4Uvj2b44/HumYeBu9Z8W8fWxWUaq7bj2MaxbJN9oAtVYtRbXA/uLEISBkszTnJNES5rEIe4u9uDUOZBMOxt5za3DbzWGpNUnPk+bSG107nEwTDCh7eGl34v9zvYJPNgXad1kwKTF7FIT/VxnGu8mmaY5OaBNYzbU+GFMrVE/NCrK/Bvwv1s28oOuIjmzCKApcDPVb/3qu8SWqPfCzdOD257jSfjzGyjFwUrgxTbqjp9biaD0wkf9c52dOqdJvzFzMvJXCwVH9xG27bJThVClnh2mqF0Zt2v4v5at652U23PIPt3ryv7xX4e4Gx9gSgw2zNfdOnGuc995zS6AWo7ALXtCAC8nBbnzhS779eLAmDDAIM72LuOYoTbbjNDH5eqAdI8po9uDepjKrU+E2BoLn9Y9TpRUA22nLo3ZmvM5R2YhCzP/S7MbK44E2w6r/067xl9XrCg7d+1Xv+6NsAq1PIuV20Fj982s1xgkhXYTeJzl48IVZpCmucUcAU2y16JgvZlAM121l2CtUn9jKxQ+J2vjvHiNAPg4e5uDx/eGqx8Js9zs6TQDVaZ7GvRmmG76lqymTTzQuLO6PzMKfsdBY0lTe4zi7tILDDA0FEhSzw+SXGSazw6ntcN2jgtzKymU/AGACapQBCY9WVmXdDl97IvZInPnk8xzUUdnWxjOxi90MPTcQ4/AHZ6MQL/cnUWNj22z1/NMM+VWW6xZpbRPsDi0Efon33oNRur+AIP9UKW+OHLKU5TsXFjJxqDW6FKTHOBEbab+uQ+0N1r5PtPT5ELU2wwuR0sDT42ibLGoY8PnQ7Mto/59x+PUbZUvRfKVOpN4qBON7tMp1KoEk/HWT2Tsmp7v9fNPlPqpUSZgAfg1jBBEkns91eva3XP4WULd9rXeV2zsG7Hsl5Pf0OWJGRCQeoSg+hsQGdVOnrzZ6A1So2VQQrbdoS+d+mq023tVxu3839rsJxtYwN343njfmhJkbafoSz1hWu3XOQzncwKJGtmcbu8s/vZuqTiznKJ7z45xV5iZsOi6hgfHs8wyRRC36sy+C6e7n8R62aOL7N0QygzuMqlPpMRsernm51ft8N9f89fG6yw73cy33xmG8CZwd5lihluw0XbTKHMVot7/bPP+9D3trYEzB5T1sgwumjWhd3dJS0k4sDDdx6PUeoSt4c9M1APfUilsefUtrDXmHv8Wpt2VZSm6LXWph/7alrUz7zLPovPC0JcdPLIDbC6A7q2a/26CLVYxrfNJT9fHqc4ngkczyTu7q5frmquJawt4Aos6nbZfud+f/NxiR2HxKEH3/OwP4jP1E9a9XtCldAamGQFMiGRRCEADaFU+zO50Ra5yx0uuy2o278573N++WqGVChMUlPLrbkM420rBtwVAwwdCVVCA0hCr44ePzvNkAqFFxMz1efOaopS49HJDKMkrGclPW85y8DOFG/y3nYP6nWzomagoAD4OBxFUCUwTIL6/e2Nftn5BXscA2etrO3kh4GPeaEQlSX2WhqttFB4Ms4gpIIC8GC/v5Tq6z4wLlNlXagSaaE2/v15IfHFaQ6pzUP2/l5Sd5K6brvnKqR58MhyuShSIRVysXy87uBjVZTVjSBfZfqynYlv+z7ttewWlyvXDHLWpTg2Z1JuQoNtP4odFMwLib2eCdLZAqSrvm93ILGqcOfrXj61ziQV+OGLKYLAbMP50a3tzAR1/YxClXg5LRD4HmQJ3NlJ6lod9t+fjDMczQrsVFlBbdwOgVl+7tUzrbPcvJ6QZvnLbhJBVMsW1n2utmv1Iu3XqoGQUIsdENyCl20p0qlQkGWJJAoQBQF2k2jFu12emXW/us6U+9m6VOSe5bLONHIHG/PCBD7TQmLQu9rgAnA2nb05uGs77+tmjc31IJHEwdKspJ1dA8wCuTBY1PFpq8MUOf++7hy6g7mLPINv0mBvU25QJJclPmkpkHzVQd6Nsi6cx8dSBoDv4dW0QBL5eFTMEQQ+7u2awI79/s2Wz6reDcpeO4/H87pdPRyF+INnp5jlEsczga/dHixdk9dt1YBumwM926+1r2uzlHvR+W2GG1jW5fa2jrbn+KPbw3o3h/OyR2yti3U7uwlVnul3bmqaC0xzgYMwXlyW52zxKWSJh0dzeACenWbY7Uc4ngnAA0LPX1nMXagS0+xs/xhAfU9e1X0plCka3o9DKHU2G6QulMvlETUGGDqKArPNzvFcYZIK9AIfk0wgDHzs9AIM4+WlEIejGEKpeiufP3x2ClVq7CSmMuusuinf32C2zB3QxedUXn4xKeo9hn/8/g6iwMd71YPnBy+mCKp6Q/04RC/cvNNlI59am8Z3WFX5jwIfotR4fDJD6Pu4NYpbC+jNCwkhFaa5RJoroNT45M6oDrC4D4x1KZyrHn7ud3ResSChSnx1nOJ4ktd7188LufXUp0KW+PzlFIFnglJ7g6i+RmwxRfd4ldZrOzX29WzVhXEmr2x7v/POx/4gQi4XA4Pm7Ix7zN97MoYqgYPB8jrTTc/5KvNqq75+HKws2njRga5QJVSpUcgIUVXga68f487Ax+FOb6MZGLczr+Ty9yKUWS6joc9st/m62TWeR9Oivg+2MTiw1cTTQi0tCboIO2jZ7cfICllnlTT/3fc85Gp1UMB24ueFxMncZKK8nBZ4Ns7w6DjFbj9APw7x9DTDi9Mc8L26CGzb5/rqaIZ5oZDJcinLqnktA2bg63tn00xtG5aEwVJhw1X3g72WPA/1QPrpiym0p7E/SM49b5cN9kSN4EZRXcur2iZ3Xe3G7+G0d5c+zup7mxdqebChJVKhLrR9Z5tmWnBzSVdbkODpaQpPY+020M1dHppZL1HgA755pvWjGFoDz08z/ODFFIVSOJ5L3NmJ6wB5M8Dx+GSOcbp5dtim7XHzPLUN9lbVA7Hf1UWukfOsC9Ks+x37vBctg4jX5bzn/byQdb/A/XmpStgCkibrADhNC8RBgGFvsdyyBOqdlcw9pjCeC+z2Y1ObQ5m15DtJhONZgdOsQD9e38d8nQGItsyfdX9vJ7w2PT7br31xmkEqDc8HjtISj07ma7dnTAtTnNPtNxaqxMnc7MDV9Vqy95RUZbU87vz7JQr81ueN/Zw2i6B5j7u1lhbfnz6TlRr65phmVTHtYS88t35GJlSdZTieCwwT8zvDXlj329p+7yL9+W1z2zM3C9X2l4QqcaZD8o5jgGELhCoxFhovZzmU1siEwtFJCsBDP15+oA7iEP04Mg278qGq2eB5oaqlDsnGEUQbnTyt9htf587IdDiEUnVKEACczAsczXPsJjF6VXGUiwQYTONkB+B6qYNxOIohq2CKffg0RYEPqYE0V0h6IQJboMV5cDYbK9vYuR05t0PmDqrtdzTNV6/nt5HqtFCQUiIKPWTV3vWDOMQ4lVudrSukwstpbs5B1Uloe0CuGoy2Hf84NTNMHoC0WL6OmunWuVDoXbKicNv5sK/75dEMz08zSA3cHvbOPeaiWhvYnN1a9R6bmGYS33o4roNpP/VgD0njeraDec/0v3Bnx3Syx2mBourkuhlE9vryqgI+7zsDzdD3ttIpdrM2XudsX9vgTSiz9We/FyCt7oPmOdCXSL8XqsQklXUR1ct23m0ab9yy1MTtBNhZEFm23z/1AB0msJrOckyzAr0ogCo9CKWx14+w24/q89G2pv9kVuCLVzPs9KO6ZoD7Hu5696fjDK8mOXb7ET4+HC19N7YNy4oSfaeg6XlrmO1nPp7lENAYRWHdfq36/LboaC8MNkqzb/vuAODRyRynqcBe9Xmas/CfvZgurau9aMCzkCW+Op7Br4pZXiTwZgMhceBjfxDjeF5AqBL7gwix8DGMw8VWyBdk27tZppDEHnTpYZIvBu1ZlZnnBgmEWlTTt3Uz2r4LWa7PerHXVCFL3B708PmrKR4dzfHlUYpboxjaqwaeWi9dM7Zzbp8Vm2aHNdvjVcsovjqamfXezpp4d7C3armcG1AJA4GDLQzEpplcysDadHmT236sGuRcp7RQ+M7jMXzPg9L6zOdqFpCEBzwbZ5C+yfw6HMX1TmHudqDNIFI/DjArVF15/7CaIGr2v9xnxqo+2CYuEwxaFYRp/r09tkKWeDUrcH8vgfv4WvUMlKpEEoXIIJFJidD3oNfUhCmkWT4a+R7mQsGDCe7McolXsxz3d/udJw669I3ajvc7j8dIIlOn6rAqPG2/h5N00Wd/OS3gaQ3P93Bvd/mas/e5W0z7vGOz11smFtvD2yxQ2x9fVejxzk6vasNe71KEZhaqe62IKuBzmS21b1Lm6rYxwNCR6YyXGEY+qn4BdvsRNPTSwNpNh3RnE/7o+aRaa2pSWi8TmRunJuI8y2Vd66BZnCwKAzOYDReFpL46mi0t5bhzie0H2zr0lhtMWfWZ4tDHhwd9eFrXnYG2RsWdJXp4NMdeP8ZOEiJqrLtru8HdgEqTraExzYV5QHoASlPl/8GtAQZxeCYi3rVB0Bp4MS2Asn1mtDkLZtP0AGDYslbMPQd7/ai+jkSpkQu1NBNoq0S7A4KLfh732CyhSpymos5E+SKeYaclPTsXdlbZOzO7tQ3zQgKlxv4wxsmsQFoooPFMt4P5MPDxYpLh4fEMZQmMc1mf+08Oh6bInP2c1fZehSrxYpJhLtRWZ9vaZvvOCyxZF91azP29T59PoDWW9oDWGlClNh2POMSDg/bClRelNZBJhVRKHA4v3tYUssSLyWJ5xPujswMRt32129Gu20XB/d7DwEcfIY5mBTzPw8GwbwZFGrDb8rkdMllqTDOJf/PpCxxNc5Sehx9/b2fp/rD3lQlUFnh+miOJfFNUaiep6wK4bZgN1DbbsFXfVxz62OuHeHmawis1poXE3WEPD26Z83maiTqg53aKyrK98OAm7P2eVcvPipbZXreTLpXCJCvW1h1yZ9Ps9SzUYnnIZbYZjAIfg15Yr89+Ms7gAyhh2tLLEsrsCR8GPma5CXgN46h+/mRO4b2lgfwGbd4mGQNRYOoVldA4mhWQJdALfWRSIPbD6v3an6Wy1DiaZa3/vsp5AwbTpp7d7s0d7KmyPSjpXvv2Gtj0Wmx7dk0ziW8/OsGzaYadXnyhDCx3ELHfv3ygQ6gSRcsg8CLFi9tMMgGtNeIoaA0+xeFyAclHJ2YLUnsdAmjdDrQtiHl/z6/7Hm5wobnEwn7edX2wddwAkyg1Dkcx9ra4tMsem19lei31W6pUfd8HesHiGRgFPsLARyYKSKURBaa9d5czr3qfMAgQqRJ7g8hkP3jAThKjPKcg46bcibbLPPfd45WqhAr8etNU26dxz0kqS4S+2To8WzH5GQUXK6Ztn9Ol1rjnBMmejLO1hR6FMvW5tNaYFQr397azw5y1KtiUVctj3GCt+1kum3Fr61eEvlnS9rYtr2CAoSPbEBVKY14ovLfnY5QsOlxtF5y9QEdJWFcwvT3s1R3BVQ+fVRd/s1gZAHx5NIOngaPUFCdrPjzmhcRpKpDEIe6MYlOgbn+ASS7PvO867oPpcNTDvFjePmaTaOsgDvHJndGZn2tGtYWqljBMCwil0Yt8wFvc4KdpAamxFJ0+j+3QRkGA0PNwZ68HqTTe20vqxtbtJLVVL96UG/QxKazrC3oJVeLLqj7Fi2mBOzsxhCzPzBQ2Z4oGvQzzQuLVtMBnL6Z1AVDb6XHTPwFT9Mw8RDdr4GwnQ0gFqVF3xMpykYkS+uaz2UKiZWlS67739BSe1rg96tUR8+Y60+ZsyEUKSw3iEPA9nMwKwPeWUs1dmVAQuUAmStzZ6eGrlzMEgdmOUWpTAO6TO6PF9VhdXyfzHCepRBwF+GCvD7mi09zU3Bmkyb1X7PeRbRBgsMtjbMrzRWaO7ExUM2vie09PzSBee/jwoN8aSPEumApYyBJPT1NorSE1NqrY3Ha8dnlEWqxup1bNbK36WbeNAoB7e2bpxb2d/lKb3OyQyRJ1RelP7ozqzAS3I342zd125bwzx7FuF4l1zHebY54rzIoSQYA6M6qtqvqq9HX7Hc8LiX4UIFmx1ljIxf0/zQRG/Qh7ydm1wPbZOM0yHM8FDkYxXkwyDHtng6TTTFZrvgVUqdGrAu47vWijQfmm2/1Ca/SqQdC8CipFlyhEGwWLVN2k2p7W7WC2dTrb7vFVr73pLGXom+9YlmZ54m4/xN3dZG2asWmxvEsX4mzLXoqC9u3e7PNu3S4SzSDfpte+W8DZLXL9+cspnhzNMRclgAKD6Ozzo20W3j0eMynTll2izx3Utd37SRhUAd2p2fVhw4LTTZsGn+znWnUdup/b1o8Bzi5jGqcm1X+cykUmltbwquWd9pnRZZC1GJj7eHwyg1QKgedVbUD3wZY9tkl29tjcZ2DsFKy1gRp3Vv//99g/976134Go+gX9OMC8CKqMmMsXrG26aMbI0ud0JjtXta1uwEioAkqZWmFdl5W5osDsSGEDj/NC1gHpVYUeTX+9JXC7BYUs8b2npxhEQT3hYic0X8wVHh3PW4vVN4NzFw3UT3OBQRwiuOS2tzcZAwwd2Yboox0fP3pviN0kQipUVWthefBYbzXmPETt7NZ5aUU2nUlWA/l1HcV5IfF0nC5tY9PsbETBolDXUoG6/OLfgfvAcgMMzQCB/RxtN2Lzs7c9pIUqEXpAvxdgnisopRH1zO8djmI8PJojDDy8mGSIw80igbajKJRJ1QKwdm2bnVFLnEGZLPXSko02NjDhwYPSpdlvvgpsnBcRj4IAqLbkWTXb2OxURIGP0PeWCoBGgV8toZAYVteDLUraj0LsJJvtKiJUCSEVTuYFpqnEZ70QP/7+Hj66PUAqJILAq48jE4tU4WEcwq0/YiPmbWvRW2f/NjBKQvzUg72VNRiEWhQJTIVGP/YhlEIQ+pgVApNUYn84qJfq2Pfd64c4TTVezgpkhUZYKBz0TcHU8xRS4ftH87pjmdxuH7i1DYzdDnobMyBUl5o5ctuOOPDqwqObDOI35W4JOC/U4nXPGdM1szJOU1MnoUttDmCRQeOe22bbs9eP4XlYtK9wZkCdtjb0FwGtaSbR64XY7UeLn29cwzZ9OSskdvtn2+NVu0icx7aLng+8mmS4vdPDaaHqQIE9DuUUBGwGJQHgeFbgy6M5ylIjF2UdYBCqxDzXiMPFn+01klSBiPt7y8UYRXXe7+8lGMYBXk5z3B72ltZ9W4Us8QdPT/HwaA74HrxSY3QrqgYyWDsot0U5v3g1w6gX1sso2r4/93pPhcLkWCCJAswyiVGyukCrew8uz/j2MasmBwplsqLce7gtSLBJ8Mt9RrZd4+aZUyL0lwdCQpU4TaW5j5VufYYJZYrE7Sa9rXbQo2Cx3ZvNHNp0Fwn3u9qkmrv7Wea5aftEuUjnnmQCo0EEPRfY7UV40DIL6m5Ruy6obtpEVV/7n5+W2Jvkawd1bfe+/ftcmuM9TQucpgLFzgUzcs5ZLnXm588JVhWyxB89m2BcTc64AeVVnyMTCsfTArecAoPN97nwcivP7MoEeFW/FUvX5rqA0Cavf38vQeR7S1sbuu/dNsiOAn+pMHngm+PwVtQzsNfxvJB4Ns7wdJzCLs/RAN7fu3zB2qaLZIzU13scoB8FuLOT1JkYbtt6PF/sP+1+L1EY4H4VaImroPFVsAHpTBQAvNZCj10CWeex36kG6oL9dkLzODc7WGBFBssm92KTW+i9y7a3NxkDDFt0NC3w6bMpAA+3hhHCapD3yJ/jzk6CH7y4fPTazp41iw02G4nnkwwvp8W529hEgY/395YrsF/0eExV3fZUtlWFqpqF7FalDNpBLOAhEwJ7fTPoj8IAIwBeYirpusdvUwEvkvIbh6ZjNMnDeqnCusbCDczYitxfTRT8H7zAXtLDrZ32YpZCLSpx9yO/rv7bDL4Ucjlqmwll9qavMgE8rE7Rax6nbYi9XlA/nO/s9JAKVdfseHQyx/PTHFJl+PrhCPd2z31pEziQJR4fp4ijEC9nOWa5xKC3yES5PTSdzEkm6gdhEHjIC4UjlSMOEgx67c1P20PEDnJ6LWl4zQHAwAkQ2ewJu6bdfTC/mOTYSQLA8/Ef3N/Bo+M5Qq+AKDU8LN7XXsfH8wInM4F5IVBqDw9u9WFPRdsgxEqFqjuWtjPgbzBrWojlDnovCs7MAtoA2UUfuHYQYwcmUmq8mGQAUO9s0vUBbosfag2UWpvZ/2p7U/d1p5ms11wCdj23KRxrzoWZNR32Quz1wzP3zUWO5/tPx8hliTAwA7PzXqMZ6HSzbr7wvZUBrVUzh/f3Ejw8mmMuFF5MMrOlV2WTwWebKDBL4Ea9EDv9GHd3e4A+O0u1astHE/ycYZJJHM1yvL/fr5dpuO34MA6xO4gwMNtuVEUGz+6eYpedZdWWZ3t9U9NkLsyuDc1jqAdevQCTuYBfB/eCM+faLdRWyBKPjuc4SQt8+SrF1+8MMeyFK9t++/3PC4npscTxpEAYBQiwOrC6lL6tzBZok1zheLYoXBmHJvDbbPcve41+9mKKeSEQBUFrirB7Pe7343qS4jQV0NDoO0s13AGaUCWGcXipJRKbcCdL7HtuuovERe9p2zlXWkM2lmeGVR8hDHy8t9uevdDM+mwNFFTp85NMYG8Q4c4ogVTrB3UmG3J5JttmBSWRSbM/TQuzRNIz2Ra7/Qiy1OhdIDB8kfPWDJI2r6dpLuuljZ7WZzL33AK1L6cFtNaY5hJfv7OcSXmZ6x1YHphHgZkgC30PMRZLNF5Oq+VVwSLLshl8XxWQsMc2iIN6Asz2O3eT6NysInv+XsxLPBtnKwu02meqVBpHM4Ek8nEsJA5HMXarLM+0Cvy639NlltxGweZLncz3pDArNEqt8fDLI9we9dCPAkRh+xaNqwKktpD4eZpBfJs9Yf9NKrP7XuAvFzN2s0bcSVH39bZVg6KpGWwCUE9oTvOyntDchlwofOvR2IwhsFzo/W3CAENHtgNylGnEJyb9Mww8pEIiQYCdJIGqIlRdotfnRVpt42RnKM7bxkYokxZn9zgepxK3Bpvtfet2upTSrWlDuWyPfruF7Ga5xNNxhmlVHMtNRwPMeqzjam1zFPh4cGtQbQUTYr8fY5SEmFWvbTMJVqXS2ocEYNabu4Us7fe3SaPlPgz3BzHmucSjU4XgKMOnco4fvTfEH2sZpbvnbxDHGETLM5i2eNNOEuI0Mw+lejs+vdj5Y5PUcvt9HI5izAuJR8dz/OD5DADwwUEfd3eT+lpJC4X7+318/nKGuRTnZn/Y1749jPFyEJldQ5xBb3OQ5D4Id5MIoixRAihXXPpClfA9tF4LsW8yZNyGuDlLdmcnWXqAPxlnCKpiQh8cDJZmS0xnMYLWJqBwMOjhzk5/6b6x1aDDwEdWSKiyxP6gh0KWuLfbx6wK/LSlobedezvYbNumshmkcNdx246w+0AGzhYx3eQBZVOLPZgdR/b65j6y69xvV9+9WWZj0v6bW8xuUuRRqBJHTlG7Ozs9yHK5qOk0k/h3n79EqYGe7+PjO0PIUqOQClEQYJrmMP1HjVdTgf2BCWLZ4xvPxcbrUE1mV2YKd4liEbRcc883Z4qA5awb27l1l0bYgZxtJ5psILRQZocF+02edxzuAM3NaLFt0l4/rGs4REFQH2fblo9H0xzfezxGL/KR5gpPT1P4AHKpcJoVuBuZuht2q0f3Goz6i075XhLV6cDusWqgftY9G8vFtqKN9ssOFD3Pw6gXIolDfHTQryuYu1svHk8LU8NDKHxYrTOfVpXNZ4XAw+MZfuTOTut32AxkBx4wLgTmpymUKvEffrBf/5zb2bed8ygw1c6PZif49kuF4ZdH2BvESwXP3HPUC/0z536TDvEsl3h0nNaDk93qGrVtQvN6HKcFXk5znKYCge+ZgSuWM+Ns+ySkwrNxipeTDL7vYze5fMXz5uDO/p2diaurrG+4i8RFuLWENMzORTaDppAl9voh5gWqukopxqnAh7fadylat+zGBL7MpI5U5hr3W4K5NosGgBm0VYOgcVrg2WmGp2OF780n+OhgAA1g2AsBzyxv+dajMQ4GEXb7MT6+PagzJdZxB1ubtHvNoJS75DAKfOSqxPE8x6gXQ0PjNBV1e+a2YXbSJ5Ml0lzh8YlJGXev8/PaMPuzB42+ZhSYbIEo8PH5iymm8PDoeYr7ewlkCYQ+oMoQukojN5X7T029ltxk7cwKgYN+gkES4OW0QF4o+L53pn8qVIlXkxyzQmKWSewP45WZM/a7SwuJca6RSVOA1w0uuVlUQpWY5BJSlwACSKWq4LOZYPr9Ryd1rbG7O6bt+N6TMTwNBIGH9/cHrUvIABPwcp91Qtk6MO0TGy67i1w/9hEGHua5MpMV3nIAyrZfcbB++e46x9OiLrAKeFCqxE4SYRAHOBjGS9fivd0eVLnYJc1eB23noBnk78L2bdJcIgwXfdbDUYy0ULhTZSfZCc3d3tkJzS7s+AjwEPnepSYW3gQMMHRkH/iDyEPgA7NCoBeGdQZDWkjEYWRmN6p13DZ6/dXRDKNzitm4HZ5N12+2pRA1I4q20WzucbyJWS6RFgK7SYxCmb1hbWpw23EIJ0XfTcmeFxLHqdnB4jQt8PDIFCQyMzMhDoYRQt9DGHgQSjX+Pa4/V73fMNojgUItbzk0ngn8+Pt7GCXh0mvYmgKr1p27xqlEqVK8mGaYCAVZFcWzVYab3I7++3t9nKRi6d+nuUAhFXLhQ0iF01TU37FZm6YxiM82QtNMYp6LuuigmTWeQygFDx5kqXEyFciUxl4/wDQXGBUhDgZVDYhSY5qZWcNhHK2c0bHbzdmAVCoU9gcRAt/He3t9DHvh0rZGLg1AKo2Hx3NkqkQ/DHGaCfgBlh4mdr2bfTAdjpw6FVUR0ObxNa9Fu447CqqBclUQqx4cOZ2/l9Mcz8cZ4Hs43Omhbfsn+x09PplhlitEYYA7uwmgUdd3cDv9dmvEZoChGXXPclEVvFseBLhBCjc4Ewd9JFF7W2FnDttkhYKsdlxw3+u0qiRfFyyx6ZCByWB4Ps7w2YspSu3hcCfGz39yG7eGZx/s62Zfmve7OyNdn/NcYDI3nbwSGmlVlPTFtIAUCi/nBQaxj7TQ+OCgj6BqN8ap2d72974a11vy2Q7bemYORiqNZ6dZvcZ/VZ2PVe0pYL4nO9CxHZ+X08KsWQ7MrOeraVENUIN6kJMJhVRI5EKjF3lnthUsZInS2V3GBtHcWizQWOo4247ZIA6X2nk78LH3USDNUph/9b1nOJ4VCCMfsijxnaenSMIAfgB8/c4I7+/3W5bghUvvFwVmnbqoZgUnqaiuoaBeiiU1EAYm7dms4V2+dn74YoppZtbe3qvq3niAyWCBxu8/GmOvH6EsNU5ziVEcIhMlbo9i3K2CiQ+P5jitthoVsiVwJ0s8G6c4mhX1eZIaKHKFXhjC9xaDlu8+HiMO/Tp1XutF59z3gUEvQBx4SAsFzyuwk4QAekvPkBfTAg/2+3h4kuJgELZuG+l+B81BQy4lQj+CVGbdbxKFKKTCJ4c7S+cjFQq//cUxslziJJf4mY/263pKu806CNWSts+ezXCSFfjg1gCZNN95s0N/Hju4m6UKJ7PCtIcAXkxyyOp7/OQwaO2wb4MdWPXj8EwR44fHM7yc5Pj81QynqcAgjjBMFkFToFEIdtjDqm1Wo2CRHTbqmWD6QeLV2xLb9/zu4zG+eDXDoBfiw/0BRn3TFr+ambYNvgdRKkhtJn/sDg2fv5jiJDVZQP3YPjfWBxhs/RO3IGLc0m41v691u5JAa3jwMckFcqlM4dJC1Vmntg6DqJaCHs8LjHoRUlHi3395VAe23Gu87RhsHwzV8tCdfgS/UcvnNBV4eJyhF3o4SQXe30sQeoBSGuN5Dt2PUIgSP3g5wafPpkiiEK9OU3x5kuFgFCP2UvyJ93erwSiWnvvusdgAqHZ2WnEDRcPe8jKRncT0jV7NMnwYD5eCS3/49BQnc4Fn0ww/cjhCEvq41Tc/D9/DtJCYHimUWp/Z+rkQCp+/NFu5PxnP8dMfHuC2swTaLXz7w1czU5jX8zCIfbw4zTDLS2RS4u5Ogj/x/t7Ke8zuIhf4Gp89n+F4aoJIX7szrD+H237d2+nh2SQ3z5qqL9bcXcuybVjgmWfLd5+O8XicVrWEgJO5wLwo0Y98+D7qa/E0LfDZswmCwF+bUehev81xgjsRtWk2w7yQ+Hc/fIXPn08RRz6+djjCz3x0gGEc1s/vF5MMHxwM6vbrdt+rJzS3wbbj8/z1b7f5OjHA0JG9UGQJ3D8YYBD78LBcXO6DKip5fy/BaSoAz1RkzYWC0u1rJYFFGs2oFyAJV6czNY/HrUdgtiZCfePYlFXbaB7PChzNMoRhWI813PSytoHmZy+nOJ4JvDgtMOwF2B1EmBUKe06QwZ3pfzUtMJ6LavDgwYOHXJSYFXm9g4XtiLozhUkUYpJKSAV4sY/A+XfbITxNBey6fjiRdnsM9s+yaqSP0xzBiXmA/Oi9ncUslVNTQEmFH3tvd20kPs0Fvno5w+PTFKnQmOaiLgzZ9nvTTFaDutWVdl9MC7w4zZEphd1eiLks8eK0QKnNwGuciqXK1tNM4l99/9nSloxx4OPROEXke5jmEofDGEns4+mLOcYzwPd8REGBOyPT0fVgZgd8AHNhdqHQ+mwq8rcejeuA1Pv7CY5nBXaSAGEY4H27u0ZLgMFm1ERJjONpAc8HnhzPoZReuvZzoer1bvCAWSExSWP0exFuD6N6a8Jh3F96uD88ntfLgT7YT/DoJFua/ROlRjozSzLcwdEgDvFe1dm318te1TEcNAZS5iEjcWsYIQg87PQCjJIYbenwO0l7gT73ASjUIgh0a9DD/jA29QVa0oltQbbLKGSJbz82syO3R3Fr3RbTWTEBlXkhcTQrqu81he/52EnM1rbuLJVQJTKhEQc+vng1Qz8OliqKW24bIITGOM3OLA/rO0U5bw0XA+Q7OzFkqaED4O6oh6djs/uC3c2hWZukWR28zSAOcXe3B6EU4jBGL/LPrfPRDA4BpoNi1k6iHuicpgWOqmDCbmKKsZ6mot41wl6P88IUu5sWJZLIQz+KcFyK+jPMC4mXkxw7SVh/p7aDJUuN8bzAwSBs7Tjb47XX9JNxtrRlWuR7OBjG8D1zvw+TEJ+/mGKSCnha48GtAYRcDha5gdH9frwyiDjLJf7tD14BpcatYVxlopj74+W0qAPNhVjMts1yie8/nSCJfGSirKuJf3k0x9G0gKw6eoEPzDIzCBzFEexdEYc+DoYxXk0z3NlLkAQ+4J0NkApV4ngmlp4t93Z7eDnpYRhHsGM6G2QPg0WtG89bdM49T2OeS6TV0qXbox6SqMB7u/36HEVBACkUXs1zCKUAL6qvURs4tsF4u4vLydysfx9GIb46niPwPMxyiZ0kwCRX0NrHk5MMd3f6S9fjaSpwPC1MzY1M4HgmcDCMz6xdjgKzpO3lLIcfeEgiH1IpKLX5dtSu56cZ/t0PjxF5Hj57McGf+fF75jNpLO2CYs+97bCvqsHgniehSoxWzOC6n8fzzcDf95cnUaa5qtuF0PeqLMv2qvcA8P1nk7p9vLOT1JX+bfDs/X2T0XZrYLZdVuXZtvw0E0iiEH611MZ+dptePZkL5341mUWHIyArBEZJCCGr9OsNsxGaBRGl1NgdrC4Muy5ImgmFfhTgx+7tVPfaIhhYt6e22F9q2rdCaMwgUAzM8zDyl9vheSFbt7F0C/jlokQSL2+JPi8kvvN4jEfH82rCI6jr9hz2QzwbZ5gVEk/GKV7NciRhCKlKfDXOcJyaXaF2E88sKfU8zAuFUa99q0MPixo1tr387MUEP3wxxagX4r29Pgb2d6uJh93ITIi4wbLxvMBnL2YIfTNz/6qfm+Pd6WGSSujq/eqloo2tn3OhIJVGLgSk1EttDwD8/qMTU8RVauTVsyWtJpxUldmXROHa7TPNtRxASAUPPnb7ITJZQnseno2z+pnrPlPnQiITEkqFOJoJSKUQBgHujOJ6qQNg+m1/+GwCrTUmqUQhFR4ezzGZSxxPC7x/kCAIfKCqbOBei9PcPOv2+jFkaTJu24Kd7u+Y+LGZ+U9zgYfV0iPbr9gkiDkvJIpCVZlEJlicFmopkGEzrG37NS2WswZXWTd2ctnnqqqKnzPAQK3shbLfMxf4y2mByTzDF8cp7u70cDDs1UW0osDHbt8Mxk/TAq9mRZWKbdaCNWVC1Wk0qzqUq7hbE6XF8pZZ80LiZF6gF5kOmikYBbyYZggDHy+nBcZpUddJcAlVIvBMutDKB1LFPohD3xz/9x6PIcoSgI/39xN8/XBUz7iEgWnsTrOifgjf3/PrFMZ+HNQdVTsN9nsPT+qIq+HVwYwzhTABPD6ZY5wqxEGAXJY4mRfYr2by3ZoCR6nAOC2W1vI3PT01s9+FLnFnEOBH7w7xwcEQt1u2+pwXEv/+yyPkRWlmy4e91tc00WLg85cznOYCo14MVSqczCWmuY/jVOBHDkd15kVzS0ZbCO/lJMMgjJAKgYN+CFECo1GICD7e20/qAkpClQh9D3d3B0iiAvvVw/OLVzNkQqHEosCaG5A6nucwdUaSuhO+in04CKkQRgH6kQepgfsHi+MAgGkugdIsc3l4MoenTTriIC7w7MTHvb0eZOktPdzNQFfVy4EOd3p4dJLCXSloDq296nkUBPX9ZTMz7IC7+bPTXFWdVh8PDoZLnXi3029rTwCrtySbFYuB51OVIY58k5HTSNu1wZndpIfQzkD7qwcFzYebPW9uQdJmgT/32KLAR+B52EkixKGH00xAlhqHTl0Rd0nKs3EGqU3KaKHM/SSrB+by9+xjkhatM2huDYOPbg1RKPudBYBWiPwAYWCWR9lZFAB1BkO9h/YG68nj0MeHt0xlaDNAkxeqNSGU2SJLKIW8MKnzmVSYC4HjuaxnqwFgEJmlcotdI0zWhC2OCBRV0cXlz2Dfx63SHgUmtfx7j8c4npklIbcHCfaGq7PfFgORADITADR2kgSZKLE3CBFGAVQhUWqN/WGIL1/M8XJqZqyaO6/Yc7gqiAgst0WFMgPpvSoNeq8f1t/3UWpSkxfPlcX34x43fGCamh0lQi9AL9TY6YcIfSAKl++9VOh6Kd3Ht0etAwrdSG3f68d4cGsIqUrs9MJ6xtJmGfqIoTXqNFm7K8e9vQR3hx4+uTPE7WFvOTPQM53e40wgLSXGM4V+6CMvNSZpgUleVsFThbs75v47mRf1+vcfhFPMhMD9/QEyYeoKPDrOADNkOnM+ANQFRg9GPTw46LcWRgNMcMm0bxqDXohRzywruMxWu5NcAGWJ0aiHWW4657dHvXq2310utGkNBjeDS8hy7XpkW2AzlwpJFNSz4FHgVzPSCr04RBD68LTpl62qi2Tbx6IaYA7jEMfVzlv2Ne3v/t7DE5zkGk/G2dK/28J0ob9cR8KmVydxiPeqWlj2v0EcYqffQxKZrMlNtwK215lbEPG8vmEzSOoG6IUqq52QSoySqM48WmoTq+dSJkukUuPWMMIsN4XMX84EJlkBWQeVzLN0mikcONmk7vcEeK27haSFQs83M9nHsxwf3erjw2qrcKHKuk9rgho+hj0fR3OJ0vMw7Pk4nUs82EvqPpgJqPbq4oXuEoP7+32cpEW9xGteSLyY5Aj8AFJpnKamEPFeP66D5L5vZujdZaSmP6sRBiEOBhEORz304wDPqufED1/OsT+M4GkPd3d6SCKv3vrZfi+eD6RCQpQlUmG3Gjf3jyo14tCD72uoYlEbabcf4f5+gifjFEHgY1jVtmnLKHQnHUsfeD4tEAdmAm+pmHXVTzOB3RyTVOKrMkUvCtCPQjw+SSGVQj+OcHtoPuc0l/WuDkppzKrswtD3IBXw/v4AZscyhfd2+9jrxwh8vx6DTHMJWQLDxCw7aesv2et3nBaQZYnPX6YIkEFC48FBf+NCl/ZzDuIQcRxgdpKi9Hy8fxCgH59d0gWgbr/KFZnJzfd4Ms7Msovg/B3ZosBHL/RQbrDc9E3FAMMWRIEPDZMC/tXRDA9fpXh8Ose9UR8/cm+EH7s7qjsw9mZxMxla09awnEaThJtvcdOMWNuUvNPU3NCvJjlKz6w7/w/f30NRrTM0s24SQimoMmjtFGhtAh9BefaBBL3Yv7x5LCezHEIBt4Y9ZKJEVpi1vv04qoMHdp3u/T3TMbXRw0Jp06A2ZhIXnXXUQQq7Z3qzEOZ7ewmyYohpYSLpzycp/HqmKMJ7uwleVluoTTOJL1/NsDeI0Y9C3NkxAQG3aNB7ez0EPvB8mmOiPRwMk9bgAmDS/sZpgTujfp1G3ByV2wFvWkj0ggD92EeaS5Qw+4tD+yiUrB5ohrslo9Rm7aRp8D0MEx/DXoK7u6ay9/29BA+P02oGbVFg0r1OwuphM6/W4zf3b5eqxJ3dpNpRobpmWwZndqDrV9WW63TUnZ5ZjxiJalyxvI712WmOuRTwNHBnN8EklQjiAF5QzXTr5a/NPa5+HOJwlODObmIGDf2kDm7tJEk9QHcfNPa4hCrr62bVbLadxRRKLR5GZ87f8tZfX7yamYFXIwW/kCXG8xzz0MdOFVh0j8cugWo+8Nbd//bhNp6Leouli/x+8/v88PYIf/y+ycba7UetlcXnuYRSGiepwGlaVNXrS9xrFFaLgvWFKG0gb5SEOJoVS9/FqsKrNnXRpiufN2Pgsim/dknVqqwj93uF1pjY9OA4xBdHU3x2UuLnPWAuNA4GIW4NE4S+CdQdjszOAu71uNuP8HSc1YW5Htwyn839jPb4JpnEbhLWn2uvH2F/GOGTwxFOZgX2qyV4551Lu/Wfu3vMXj/GTz3Yw7NxhjD0ICVwMEwwSgL8iff3qlnG5e9AKFNgdl7I1m0dbVv08jSD0hqjJMI4k1WGlIeJ7YhGAeK+6UwOe+HS92MHEs+nBaQoEfk+fuzeCEkU4mAU43AU49k4Q1Bl5n2wX1bfX4L7+wkyofD+wdlK7asq739U1XHYc3aQsB1xWS7SZN3K8ONUo5BYzPpV17MGqud6AFmWmOQKgCm2/P5BAqk9HAzCped9FPiQerG1rx8Az17mJg3Z90xGSdU5vzOqlqE5ld4H8fodc9zzl0QBfvz+Po5npqbKUhDAufY2cThMcDDqQYgStwZRvZvA+/tmVw27iwSApSVeNlC26hhtu5LJxTKzdbtOBb63tM2dW4/m/n6//myr7m/3HhG+j1SavkBbNlShzCRNEnpL/x6Hi8J0ceDjvd0+xplZ/riqGJ29ny6T3m2vZdvPEqpEfIHfd4/h81dTCLloB93rwf3O6h0+egEmqUAYBOhFJuDmwWSe3h31cDgy/aTxXNSFT90+2Ee3TIZvVpitoeGhPneAWXIYVjvX3Nnr44/f31ue0bbPslEPH98Z4e6exGfPJ5BaI/RihAHw0187qO+DQTVItNl300zWhWd/9M6oKhpulnjZAMg0y3CSCny4D4hysftaFPjwPe9M39LuDGTasAF2+9EiE9P3MErM0r3QWyytsUztGdPmBL6HXhiYOjXuciJnedqDW4uJyijw8cmdUZ319fFtU5fo85dmC3XbB3DvmcD3cJIWiD1ACI1+tFi2uJSpNojxcprh64dhtfzPFKo2W5mbTAihSvSxPCjvhQEGUYjboxih52FP67rvYPs1siwRSXP8w16IDw7M/brTC3CaSsxzdaa/ZK/XT5/PMEsLfP5qhh+9t4OgWgJ83iSB+wyH5+GjWwP8/Ce38SN3RvDg4V71Xu53YCeF7WfzV+we0XwfaI1c6bdyy8nLYIBhC+aFxPdfCXzn95/g85dzE8VPQkS+j1vz+ExqTRQsMhncm0OWyw9fe8Hn0qTznFSz6uusengdjoCHR3NkQuKLoxQfHgwwLUTdSTpNC5zMC4ySxSycm44OLLbKFEpBlj4+PhwuPZTcNWK2RoKNnnrQuD2KMMtMxPnDW4N6za29Md2t8dwOh7vNm00NHcSLSuZ2m03AdM7bBlSDOMTBqI+RVGb9v2+CQjYlcrcf4cNbQ6SFwGmqMRMKfqYQVdHWcSoxtwEGD+jHEe7v+TgY9tA/8c9U+3bPxzg12x+O51Mc7pgUs7k4e64PRzFOUw+yLJHlApNC4mAQwfd9EzDQPUT+4j3c2V/ABEDCwMfdnR52kgj9yGR+pIUy0XnPg1+tW3Nnst1lLNBndxFom/He6y9SQe3/2i3onowzjHoBTlOB21WnQ6iyzhIIAn9pYFfIEn/0YgrPB5IwhD/0sJuECIIAt4chJrntZC6f0+ZxjZKwHjS4gzV3x49msSt7TY3XzGZHgTOLGW5Wed0N1NiirvYafXKS4uHxHLL08OFBgj/23s7ifRozD+4Db5yKldFue7+YRETUA7i2ui1tO7zY9z6vQrPboYhDH3d2e9BaI5fKzLqXZ2fT7ODD1lfY5EG97hiEKpeWfK2qn7Due+rHIdAyW7Lu5yeZQF5IhPDh+ba44yIb4bTa6s0GoDRw5nq0eTU2dda+h3sc9/cSBL63lA2z24+QRJGZ5euZIMG69aDNc2nfxy6xGlQd1lQoPJ+k+GRniIPh2dnvWS7xwxdTCKXwai5xbyfGpN9b2qIOMEvOfurBHo6mBeZCIA6DOsPt1rCH42kOpTWmmaoL1trBmfv5hSqXgnluAMmdxXQH6TYTKUqCRSZCy/exKigYNTqBge8hlyV6arluka0MPxWoiy/az5FXz/gw8OB5PlAq7PR6EKXCTt8smcmFwtEsr2dv49DHhwd9eFV9mV4Q4N5er9p73ryvLWbpFuh0rcuycz+nDRzu9GO8Vw1KVhX+c9l70X2tuzsJ/uc/dojjmcCHt/p1QCoKzi7h3HSJl9uu2GVmtpjjNJNLS7zOe51NszLce2QYh/jiaI5JuvoZAM9DJvWZfzfPQxNgaAZBmq/THOxcpO1qvp99dq1butR8T1u3IQr8OqhuA4Zum+p+h/V9EvgrA/ip05a+mhZLQSX3OL54lQKlRiYUvn53tLREYl3ArPkstFkJh6MEoe9jmkrc2e3hcJTU96Korp9ZLjEtFJLQZF0ubR3qZDV8dGuwtKVu8zlkC3y6fctmGyZUubQ0JoD5jmxWLoClWkuHox7g+UAJHAwSjOKwnkQ5b3mavQ7sz85yiXF6doLN/qwNZu6PEvQjD4ej5Ewmpv1vViiTdRoGeG+3Vz1zFzWrbDfEPcadXlRvWSyVWWrmBmji0NT7qd8rDHAwiLHTj3E4jOudJtomedLCZJDuDWL4RyZLNQkD3NtNlt5j1fXfHEtEgV9PCNr7SEMvHau5vsxExk58tkZLk9uGbTKh8y5ggGELXk1zvJiX2BlolFqhLDUUgHmuoKt0ozuNAmRugwmcLcLoenaa4w9nExRK4+5ub+X+y0tbalUPEvvaaWG2Oxz1IkCXmIkCvmcGoHv9GKepgCxL9KMI6JuMgOYD3e76kEQ+pplZM3171KvXb5vtAM/u/WweXMC93QTxgY+dfoTbo97y7EljjWBzz3sAeDnN8AdPJwjgIQo9/Oi9naVGEVi9Z7r9vueFhNbAy2mOz+YCP2Ij2VVn7rRay5eJEmkuIavlCDaTIgxMd8ntvL/6weqZIKFK9KMAP/XhAU7mBT446GOUnA0wFNJ8T0KaYMC8kMhEiQPEuD2MsJPE2EnCM1s72g6mUGUdsDoYxrg9jDEvFOa5gig1RklYPzSbpNL19mZh0L6FZrMBt///yTjDLFcYxoHZVaMwRRd7oY9eaIJvT8YZJmmBJ5MMHx4MgFLXVbntdxR6wCAK8Pg4xSAJMOhF+LH3+mfes60Q17qG3NZVcNeynx2grB9Ytw3Wztu5wF7TblFXU6fErH98b2+AMPCwk4RL38U6Qpnt/M4b+LsPt+YD075O2/fQ9n3adsl2jtwOxbDqyIS+h1czcWZNdPP4vHVraZz3a+uAuwOd0ypj4kyK+gba2prmZ3W/L/fnw8DMcuVCYpQECKoOZxQG9RphW/dm6NTnWLpmqiUvdqmazaZoBnqSaLlWS7PzPUpMwFmocuXa0LZ7ttkmfnw4rIJ+i9ksO6lYyBLffzbBi3GGo1QgEyY1Pgx87Kizs8KDOES05+MHLyT+6NkERakQwIcqS4RBgI/2E6RiueBf2zHaYJ5t95d+pnHumvfmJimy664VoUo8Ok7hBcC9IlnMZAGwyzlk1X65r+Vet4HvYWcQIvQ9HM9RB/HN+mq9NNwexIutfe+MEsyqZZHNLTrdZWGbfA5XW/tmd8dZl7WVFupMcdEoCDCMTC2RXuhjlisE/upAoLvEa15d86vah+Yys1kuMc0EkjisJwJWnd9Cmu0B3efbJt+V/bdBFYwNPA9Kn62H0FwKe9nBQ1vbC5i2oRf6GPbWF/1uO/a2pUtClXUdJfuebt2GJAqhnIkEAK3Xgw2UA+ZadQfT7na1blu6KqhkB4n7wxhlWVafeXk51rqAWfNesG3F/iDGqB/jw2qZSR1gqL6DaS4xmQuMgSq4F1SDaIkvj5afNbdHPRT2Oqq+F3vN2gKfbX3LpTbM2Sb19jCugyXN+65K4lwKMrpLepufedbos7R9P80lXu6/ue8TBcHq5VTBYkkFoPH0NMfhMF6qWdXMJHWPsxk0XnUum32q5oSrqx8HgO8hKxT2hxH2B6Y/bHceWaf5zAdwJqOhje2TQ2tMisWSIqHMMvF1n2ldIf53CQMMHRXSbMWWCmA6yTDNFO6MYgzDEAc7EfaHMR6dzPH+/tkCR+4g7Wha1Gvem51eqUr4vo9QK0yyaj/g8GwxlOaDJCsEJnmJg0Foiil6AErga4dmDfluEtU3aD8OcDyXOC4F4Hv48PaqYoSmc3U8z/FyGqFQenHMjYdN0Xi4TTKJg6HJ3Cgag4jmlm7NAMzLaYHjWY6XkwI/eneEeW5StuwA0v29VR1N+2+eDxwMIzw8TqHKEi8meT0jZzNLQl8hicO68vuqzAihShxnGi8neWsqvFBmjWNYrQdcVbHbfk9REMArgd1ehADKVAgeJfigWovozkK7D38AGMQ+nmUFkijAOJMIfZNpIVRZrfcu6x09ClkiCkxl56yQOK52tRjG/daU0rbOWn1uqxob80JW58kUXfzx+zvQ2qTUTTOBhy9meDXO0IsD/Hg14K4HVWGAJAqwM4zx9cOhqZIfLGaj7Puv246pGWCz6dnuQGXV4HLVw9D93DaQ477HTLQPcG2HtLkUCjD1UUpdIhMe3tsNzqx5d9/bXZf8araoE9EMMl7k4db2wG1b++i+fxiIemsxt0NRqHIpBb0XBks1GC6q2QG31/erav/1J+MMsixxPC3wfJDhwUF75tC6z94WTGoGNt7fT878vFAlwsBcN/0wxFHi1zPs7uz6aWpq2PQb91Hb975ukOemhwPLne+sGvzZmbC2rYKb36tQJp06DJZnDe0A134f01zWS5xCD4giH/lYYS4UXs5yBIFZA79KLhSmuUSpS4wSD0qZdduAWeq0KsvA/b7drKpxKut2ohlM2GQQKVZk7DQVssTT0xyeD0R+gINhrz5NNhU6q9JlZ4VEMdb1Wnz3ugWAvYF5jw9vLb7/5jKsZpBllIRrA52rMo820RbIsYORlo03AJh14W3FVOdCLn3WVQE+93qPAw+PT9I6Rb1tkqRtAGl/fxCvHkgIVeKHLzPkwuyAYJc0Nr+rTb6jJAzM9sAr/r0XXq4gmwm8K1OXpdEGuLsrPLjVP7PE7KJsWzbNBSaZqZXQrNtQamB/sLyrj5vFZ/5c4NHRHC+mBfzAwwd7i5oIQPvSIzeIqoG6zhWwGCSezIo6g/Gin8sNqK5qy60oWMzajwYx+pFX77AShz5O0vYs2Wa/0w12blJk3W2/zLLBRTFr95q2fUm3DXaLeLs2ufdtFuzDozmE0nWtCKFMraoo8M+09esEvodprpDmAkqa/rDpl7VvA186BQs3uX6bP7fuXLoB9p8Mlt+jre/iHpdQyxndZsLV7DzmPj+8RlDMbdNLDcwysVgumcr6Omr7TO7fp4Va2hXqXcIAQ0d29jX0gX7gIRhF+LmvH2I8F/B9D4+PcwxigQ/2B2fWYNnfh9borehkRsFibdjxXOBgFONFVSug7eJ2HyT9OMKkqtweeh7u7PUglcbtqlha86Y0MxSr97+1a2anmcD+qLc0g2gqI8f1DJuJuJ49pt0kxmlVdKwfmbTjcWrWXdsU+nEq8b4zm2ejvqOeGeB9dTzDqGeLqF3ci0mBPJeY5gpBsNha0r6f29DZQaU7eHs+yeqGJq1mTtwBURT4OJ4WpqhkLqotJqOVEWP33AmpEIQ+4Jnv+9YoxseHw6WHcSFLfPZ8ilwqfHE0r4vL7SQBJqnZmWBemPXxdob1/sg0prbTLqXG4U4PL04zk+JaagzjEB8cLNIP3fdblVKPqo5Frwp4Rb5nCihVHYs4NA/5rChxZ6+PJPKgtVdvkWg72vf3TG0HW2vBDQC4g79MmGJBbdf/0uB0lsMWtrP3lbtkYJOHYNtsejOId5wtin61dXB2+xFOUoHnpylQrcP8+p0Rbo9iSKVxb9fM6rbdc+7nsWux3c9z3sOtuQWe5WYhADiz3MC+t/v+zcFuk31v37t80SJdPYTtum0PHuTUXCPHM4G7uz0oaQb5cRiYrd/U8mzVJtkMbee+bWbR/f4W2z9Wg67QQy9sFAR1MlZ830M5LZYKUzY7OgBWLs0RqsTTcQpVmroFNoBgg4ppbmrlbFLkzb2O01zhQ2dbYjdY5P5sHPjoRybrZL8fYTyKsVuGSKJwKTNuluuqSJwxLyROU9P2vJyaXQ2GSYjdflTP5DWzaZr3o/3/oe+dWWLk/lxbu7Tq868K5AhVYp5r9MIAs1xCSolBFEBIXa+7tcd4fy9BWigc9PwztZOaA/bDYDlVX6j1y7Ds9QtgbS0F2/Ycz3LEgbey7s95ouDsblP395aD17YdPlNM1ffrXX3218wgNlO8P30+2aggW/P3C2W2dl7186ZgnNnuWqpFplNbpsDr4AYT7PXzvSeTercnu0TI/pu7u0JRrW/f5Nm06ufsdSIVYKex3boNti7QQbA8yG8+EyZpge8/mSCJAoSBh9O4wGkatabVW+59kEmFV7Mcd0a9euvnn3qwh9NUmC2FL9B9W3oWOwHVdc/xKFw/a+8O9t170p6Xo2mBtBD1soq2S6g5KHW/E9t+rcqW/GB/gCjwltvAFdd4JtXKNqwpCDwUpcIsN32zxydpvXR5VcFT93u214BbH6YXB0uZrc02/Mk4Q+yb3TIGLTt3tL2Hew+4/e1Vmtktbf0zt+8zyyU+ezGtJ2Xs8+HJOKsnwe7uLtrP5VK6y9eH7wG58xxRan1GlZUWCr//eIwk9DHqhRst83qbMMDQURT4mBYKMwF80I8RyRKjOMD+MEagNb46TpGE4dLa5DOdqjUzCVFwdm2YLVjXdqHu9UMMYvO6WpsHGuz/wswgtaUVmWOx1bLb1w/Z9CcbnRVqUeRKqEU60axQuDNangF0ixLZ4mRfvppBKo2X0xz7gwiTVOFrTuc3dBv80iw12R+Ywdb+IMY4lSsLOK0bEN0ZxcCoh2CcIhUSw/jstl7nN5BVqrouobRJlRalrmdaf/P4CH4A9MOwmhEx38vhKMZ+/2wapNsZO69AlVAlprkJ2KB6cAil4OkAuZR4Xm1zZ4vIuYEa+9BbFPA0FdzDIFi5heaqDro9t1pr3NvtmwFeqevZmJN5gbu7CT486ENJhSAVQGmWHNadVeccu+tKm4Me27H+w6cTzHOFW8P4zA4n7gPBLWy3rgDQOkKZ7UvdwkZuwExojcADhFrfKVTKrF8MAh/9cYAPbw1wOEqqYFkKaI1xIM4EIN3PYypLBxt/Hvtgsw/ftowHe024n9FN27dZIPb71BobD+IvK5cKWWGKmcoSGPUC7CQxjmemsxeEPnKpIEuNe8M+enGAcbVF5GTUw9TJirmIZmcTAD57MTUBDCeoVhcsHfXwLSzPnrgZK70wqNo3s72Xm03jHt+6QnCnjfW0wGK2UyoNr/rxYWzuczeY1OzAuWm5dtlS22yY/dnA95aWS93e6eG7j07hBcAkk0vtPTwPw+q+TQsF+MDdnR4KqdAPTWZcGPhLM3nA+lk597noLjFqO9a2QWQhS8yra3UYh60DCdtB9bTGOBWY5RKTzGTG3RrF+Oi22SPePcbDkSkm3DYoaRuwu/++aimHPY6nJxm0dzaL0b1GRanx5asJjucCx6nAvFB1TYVNgqb2/ex/zZoWJosjRaFKeFjsM3/fycB8NE7rgsx3dnoo18QT7TEttoS7WHscBWaCZd3SFzdr7t6e04aek6FxFaaZxLcejiGFwnEm8MfujZBJDVEq3BkmpiCz0hjEi4kcd3eF26Pz1243B1bD+GwWZ9tSItvve3g0Ry9qv0YB1Ft/26UpqRBAbopA71QZnmawdjbzzm0Hs0IhjgIUUiMMyqXXV0qjKEvcGsb1xNG6wH+zDTsvoCqUWZ7TlqHlatuael6Yc5jlAi9nAv/BfVMfrO3t7JasbUHSdVmCtg1I3Uw0ey5bNhlbFQxx2YD403GGAB5G/RB3d3pnli6v+97cY3lvt7cUnFnV17bnJgrN1qB29402zTb/cBTXzxG7rHtd0eW2920GLe32v1KWeH6aL40pgOVJsN1+uHhGNrh98oOkmkzwFgUtNznGXNolb8tFT98VDDB0FIdmpmeuAFGWCADc20swSmJM5jm+/3yKOBf49PkEf7K/3xp1a+uYxI2Bhrs2zEP7Wv+vjmamUJ/n1TOkdtBiUzVXNeDNDtDKqPCKgWDbms51v5NLBanMwOb5OEPoe8iriPduIwBiO29SKdzdTfB8nFX7buvWBlOoEj98OYXWGmUJ7A8jBL4Tca/W+N7f7+P+XoJRL4JaM+vajJ6LsjRLTqoZif0EONwx2RzjuQDgIwAQ+j5mqQB8LG3zE/pmBtbt6NrZK9vYrWtk7cPGzixJqXAyNzU0xnOJ/UFUF5FbNWC11eTv7vYglFraKWDV+61aWmA+jw+hFudpN4nrdbcA8PGdET5wrgmT9bF6N4a297dZMMPe2W3P7AOkOUPsdugLaZaE2AJEH60ozOl6MV2c58Mq9fZwFGNe+Hg5zfFqXuLhUYrDqqaIu3uGfX8NYK/fA6CXghHuA1K0BMTce/KD/QEGvax1gNLGbnF73oyhUIs155Fv1rO6RRBtdfEo8PH4ZG4K9eWmgxmf891dVCFLfP5qjqNpgZkoEUfALDMDjDu7pp385I65pp6dZmb/a3h4fprjdC4wFyV2qu2uLhNgcNs/WZb17iTNoJp97balUXaJVZ1FFoU4npsdcu7t9s+teeEeTzOVdmm2M9KIAtRby37v6Wnr0qDm8rWhzRBaU4PDfV/bDglV4vYoQj+O4Htetd5dVf+m6qCFkArQwM4wxE+O9rHXjzArZOtuSasCl+75sLWBIr8R5EN7J36Wm1pAXx7NUWqz1e2P3hmtXBYDbbYpFEpjkou643l3t4dREpp22TlGAPVabPta7nLctiKU7jld10FPzhkE2BToaVYgqbZBTQuBh0fl0l7w665991nmBhDdiYJpruB7HjxoxOFixwz7n1RlXZBZqBK5rNqkNe/bLMi7rU72vJCQStVFZG1ADMDSOvKvjlPcGSX1Fs9XJRVmu9ZRP8KrWQEPHpIAGCvgZGZ2FggDr7UPCJj7+bx4yLrAGnB+X27VNWqvDVtzY6fnIwxNG2YmEZKl+7h5nO5Ae7cfoaxqPAydNsTusHAaSmRS1Rkbp9XWhquu4VXtYfMzugPYWSaxP1zMugu1yEhrDnTdvo/ZjSuHpwP4AOa5xNfvjPCwZenfJgWTgbNZgvZ4J5nYKNNm1Tm138E0k3g8npsJrhK4e2B2BYrC9r5b23fXvK6iYLMlFVFgAp9/9Gxiiojv9M4NRtj3SAt1pj6IKaB+/iTBqn6p7YeZP+t6t7r6351JsNNU4nC0OrvJfu7AX94Rbad3dnnEumO0Wb6rvhMb3H3bgg8MMHQ0zSR+eDTHXABPTzIc7sY4GPbw3l4fzwIfP3ZP4KDfQ+hjUYSorkkg6gav2eg3H9bNwYbWup5NlKXZonCSC8RBgONZjklWYKcXtUYFV0WL1zUibezr1K/dUoOh+Rns6we+WcJR77s7LZZ2ObARP2sQhwirGdxc2Z0kVjdir6Y5prlE7HuY5GKxbR+Wo9bD2BQ7cmf/3KJGzYGghjmPbqXz1F+kUI9TMyMcRgEOBiFkEiHyzeA4qwYs7pKMtg6f1hpSm+I/bYP+ZraDScf0AfgI/RQHw54JhKwZsO73Y4wSU2PCrePQxnZs7fKXtu/cpqRFgV/XfZCqxOOZyehopqjZTBeblruOPe66c6BMgbFmxygrVL2H+dIgpDLLZb0kJBMmfX1VpN2yy4bSwmxTZzvye/0Qh8MYYejB94FHR3MkcYi9foTTVNTZFVGwvP+33Umi/s6re2bdQNN2yC9yf7r3oyh1XXOjOXO6tOZ8EC6tEU6FQlz4iPrmd2yFahvY27ZZIes1/9mswP4gwf4gqtfN2s8+qIJjtv15OcnR7wVIc4lBtNzZbBZ+W8f9fmVZ1mngK9ecaqzM6pkXZovGL4/myJRCXBXUXZUd5r6u7cC0VU2315KdZe/HgRngVu3T5DSFLE0Ggds+u/d9cx34uqDW8dxkqr2cFphkCpOsxPsHfYSBtxRkfX+vD2hn2+BBXF/rxbh9K7FVHUT335u1gdyZdLcdFKrEw6M5cqEwyxXyKsjpBqHXDVr2+hE8eHhyYiqUn6ayumfOHmPoLw9IbGz6vM+zykV+z2znGpssltJDHJq97DeZoQQatSIaAUT7nyo1cqXM0pwVzyjbrjwZZ3X69ddWFEtzP+dF+hd2RnbVdqxCma2Nj2cCxzDpzu5yJFvY2hRsNpM8f+L9vY3f/zL6UQipNV5NMpi69Br9XoQ/+VG/Dqqb41sE54DFjG9bv6npon0tqw4Qrdjaz14b9h7uhQH+xH2/vrY8rL5G2ybO3t83W3baHRDmVfve7wU4mRaAb2oTSXl2+V/bvbpqmao7aF/qqzn3vhs8kRr46KDfGtw0fTiB8UxinOZ4b7+HvcHqwptS6bVB0ihYX1D1Ivd+85y633maK5xU9bdyZXar2UmGrctC287VqmPZ5J6NguWJJXd80fazotRIq910+nGwFJA/7/ebr9UWdLGfQ6iynphw24X9frTRsa47B5v+vH1G2SxfAPUklD0ed/LybVtCwQBDR/NCwi+BvRjYSSIkQYRJJtCPAwQBEAcBssKkdNvBmSg1Hp/MAJib+L29ZKNGxr2wv/VojNDzUCiFUqMugAYPUFIDnkbke2ZPcScqCGy2PdU6QpVLhYnu7vbw4a3Bykr7qxqautNb7btrb3j3fexALAqqnSWqjfg8b/HvzUBDFCyK+wT9CEHV2Lif3QRezAKBV9MCuTS7LShlinbaz/X1O6OlhncYB1WjuNi20P14JngRLu1tL1SJz6u1YF++nCO642OvKnq2FNGd5ZBKQZbm2D2t8Un1/mZts4CUptFsNqgnqUBWSHies1b2nAGrZVPix6k0ayMb3Gq6ZpnHIntgEIfQ2sPnL6cYp6JOewPMbMxpulh3a2abTGfC1t84L7jRPPb39hL0owC3nC387HeYyXJpQNH+8DBLQqTSSAuFQbw8g+M+rMx/tqK9j8BfDCgBAL4PXQI7SQxdLZUodbSUXREFi33S7Z/d2Qz793ZHhlXcegDn3a+5UCiUWY5jgm0FjmZ5tYvJYOl7Cz1gN4nM9QavXuc4Tgt8dTyv9/P+qQd7lxo8bcJ+77tJZCpwxwH6PVMMsL+idonbWYpCuaja7WyL+vjEDMpzaVJxm++36rsUymQo2TTw+/9/9v7zR5Ily/IEf6qi1Kiz4PFYsursnq3tnukFZrH//+4CMxhMd2dVspf5WEQ4d2PKhe0HUVVTMzfziJf5aoHKeQI8VFa4u5mqqKjIveeee878cEtZZ1t2KHGep45BdrkqOUlCqsZR9Z/qmR8GG5tScdYGRkPRu8/PRszTgOt1RRy6tXQxjns6+KJofcsbvdNfOnzvA+EdrXAO52a4TkLf4/PzMZtK9mt2CLIO98gwcHtk9znHvuuQ/e2hZ/OUNlD3O11lVBvXhtHpzxxLwLrv6e7lzckIPEd5TsOAUmry2jnyfKpuy1P3+tT4MX93bD/51FaApxIatz8bTtqEap64AsUwQRqCElI/Fq48Bgb82OHYZjmLvAHP49kkJg53KfnDdbnIa2ddzW4l/mpV4wuYxlEP7P9bjihwNtGlDHnlw8v5Y9HkolE74FwnmNqB8h37sJuH/XNsf70ccpHYH8O9xcKOTXT3+cDOO3w2iTAZ7bMPH1mf73/+oyS6ZUV21xcKf8dhIWx1PUaxA1470OpY0jfcww5+X3dd7T10AFk354usJGuME9xr2QiHqt9pKPjPn5/yl5uMF/OENHLvQ60eg9VPgbXD6x4m1Ttnxf4e+COSy93Cl6VuNJd5ybqQzjJ8IIa5v8cfYk38rfsXuDiwKyx9LD7o4viOib3fQv1jwdn93z12rgxjf3du/bjv+ltHKBwoDfDDQ96/C0ko+mfh2L76qID/v9fxM8Dwd45RFOAHHqqVOZBa8fVtxh8vN8xHIRfjiOfzlF8+m/a+5ftoH2xFeD5ldIsyDAV549S6p0lEGvqAx8ks5F8/rKiUopLOi32n6viE4NWnbC7dQdgJE3W076EVz5+u11Rtb/dTPaXdf3njPqM7YIpG8WFV9SDGLA2IQ59pErMpNUkouF07Ib99SlUotuI+QeDtCKTt07FCIYh8v0/wK6ke3ddwEzwZOf/54Qb2rj0on+prniQh4yTk65sNm1pSKL2l6A90A7SxlLUkiV1lqnsm/8d3CxZZTRwK/ufPz5jvedZ7uMPu+SRu+/U/bdM8dtgMf74sGjpBuXXZ8O1txrpSdCDMi1lMKc1O8j2KXIJoB1X09w8FpXQ9/lEoCDwHGj2buLkdghb7B+Jwbn9xMX6kJ7B/yO//zfNpwjgOeD6LKRuJ5z9Wgj/0/PZpjt13jKKAz059ppHHNHFU/a6yt+800iWcwKNqxvB+jwWJUhveLXLus2an4nDsd//7+632wjx1dnm+5x30xu4CviQKeHu6tQX18BB4nIwj7tYV61I+GWD+rWNIMa2lcTaejeKL8xQ8v2czHdubhu/mfeYcdjo70I7Z0wxENJ96T4dz2FXyyiN7chRsbcv6v2GXMRMIjzgQBL4gENvq5ap0wMehxKNTtx6ynIYjFI4tlQSibxvw2r79rp3AsRx26eL741iScJ/VLqlpRV/7a/C8vmWk2+Od7agDWZ9SX39KWGx4HceejYfHpmzQBspUHwyYu8poUTvnirdnWwZRuJeAHfqeKOgExjy+ucvxhdeLKQ+D1KJRO6KW0HdnPHl+fuxs/bHv1PDsvJhwVPvh0N8dek6l1E4nBo8g8PiPr+eEgY9sdsGjbu/rAYY94cqnMI4fUy2U2rDIm51zKQ7F44S7va5NrUkihVxZZknQv78vtWvhGCdih/X2bzWkdu0qp+O4Z6bB42LLEJzr/u5QVfnr6w2+gE2ld/b9Y+vlGBA9POcZ/HwIxigLL2fxztp6Nfc/CsbugxNPJdr7RSipDc+nCYuiOeocc2gcA8qGyWUHkEltuFpVfH2Tsyo1L09i53Sxx97p7kW1jim/fDHtz5+7rGFZu9arcRvbRIF/MJk9NIZJ9cF7YRsbROLTWoiGczBNQl7MU6QxBL4PvmPhdfe0Xzh5isH2t7wjnwpOSG0IfG+HrdIxEg/pb33KOASKf2z97zO3/q2Bx+4aloUkDgWhP2AxtwXnk1FAKLyDAub/XsfPAMPfOSZJwP/y+Rl/+IPHb35xzrpoiAOPu0IihGsF+OLZxPVzti9U0ai+537YGzSsJL9+IokYbhCh8GiU1wsmej5Uyud0FPN8FnOzqR2aG22rDlnl2imScLdtYv+AGx7msCvwtk/7Hn7OD4uSxaYmiQOmydOCPN39DJOEu01N3mis3YIY1hq09sA63YFKap6iVHXiPsq4ymEfE3q7jhaNMmhr+wQ/JegZDPt0dvd8KlaVehQ0H0PUh88rKxvWheQmrMHSU/T3waV9X/p1KdHKME1DamlY1TWjZBed7wCAolE8ZK1V5UcO6f21dIgyebmqSEOfy2VFNXZzjscOCNNO66MKRBT4vG5VwNel5F/fr/A9j0Xe8PY84fncrc+/3Gz47qEADwLP7xkxwzX1Y3tO98ULpXYuEp+djViXkiRqdvpJpT5sXTS8hv0EOxQ+LyfOsm/4e88mycE1+bH5Pjakdtoan6KIvj9X3cPJG00kvL5V4ti8daOzFLtbVyxap5cdS9qfaOxXYcrGEYuH4OvHQIHu2oeq3QDaWuSBCtWx93T4eYcAq/15ClpLrmO6Hp21odKGaer28z9frXkoZb/OXw72+aFY3duz9Ml5HmqDWLvbTtD9+499TlIbrKUHYGPfx7TgxTApPVQJ7f6+D9aO0I+lPt5r+tTfXa1rVpVkXStet3Z5O8+/BcpE4p7BoUR3GGwf209qqamk4STc1XkZrsFFZXeYdVVjnKXfsjzYR34sefxbxrHPekr7YX8M98huHhYtiHw+G7Eu297owe8foyLv//sxkHRfzO6QTeX+NT5qA1CG7+4zPDxWleTFLNkRVp0lEdVgz1uXDfg+X1y4d+mYBeBPOfavGw4D150OVBiIo+8MOBD8U9vSpDZcr51d5/4aPHbuSO2EjLNaPWJNdn93NFk8INj3sb/Z/1mXFB7aw59ax0+dXf353AJk3by9PhkRhc4hZwiUdfNwjOHRvSeBD7frilnLrntzOsLj47aMh5Lq/ThryAj+7SvNlxeTj67V4Rycj2PWlSTJAr65XSE1hB40zw6fncf0HPbbg3/M+BRg4KcGN4bPrZSak1HIKHyc1u5/799yf3/vCIWPwcXJSbjVBrmYRFSNZBrH/3BCkD8DDD/BmKUhr8cBn52mrJKgFa+xCF8g2kXc9YP96WrN7y83WCzn44j/5cv00WH/sSRiiJqmoWBdyT4oLxrlqMWhq1y+Okn7HiSpDV9frblat2rVs/RoUFg0ir/eZlRS81A0eNYyH0VUyvSiRJ2Wwf5m2VWT9nuiPzY6+nwlDZtC0hjTV7pn6TYY71wW7sNdJ4v9EQonPBUKvxei6pJ5ZQw3m5pZEvDF+bhlW7jPeDHfBo9DO8rAh0aLHRr+8Ls+1tfsYTHG8pBVNMry5fnWfrIDl/D2qm9t4iACn0VWYzyPJNg9GIeJScf02F9Hx5Dh/cNmv0ff3attnw+koQd4bAbg0igKmKURD3m9U4F4Pk0IhAOjnDK1QRvIasW3dzl5o2kaw7PWfjCOBEno+lIPATQfq47s//t+Etb9XifENwwCh3M4pJZ/LLkd9mN3ycufrtfOWrZWj/RPngqMjo1Q+ChrUZ/Yp7l/kI6iAKUN93nDfbHi2SQhCbce6Pvvb3dt//x2zkPW8Gxg1fWx5OXHjuH1JqFgXcpHz+FvAQVGUcA0CXv/7y5B6SpUP7bSdixBLBrF5bIk8HyUNTu6HmELOHTv4A+Lktt1TaUt5xOfoUBft790bQjPPmI/OGwb8AZlsf3K6I99Fp7nRM7AgZxG7+rs7NPl+/lZlo6h1yUae+9r0SjePRQI4R3sNR1WD/eBHYBxFKKUC/K7/eHQ85rEbr1n9S7zZPgeHxI37J7lut2Hr1Y1n5/p/ho6Zf1ZElFJw9fXG+LQRxkIfccOWuRyR7F8uId86tn+sXH0XfgRoOWwaDB890IhWOaNE/aLdtsRju1Vn7qHfarobDcOiUIWjRMzTqOtK5c7e7b7uedvk4eO1dEB7fBv74LjBH23Gk+HnteQ7bMzf4ee4R5YUdSKVdn0eg77RY5a6qP75CHHBHe2bO0IO9bkp8zPITD7KZvBj40fu45/zPkZtHvbaRozS7dWu4fuZcjwGF7XpjZM2/emSwR97zEnYR+MDsXWevmYns8uI/jTLBCHc9CBNOeTiGkSEEcBIvAo5GH9h31gYZE3fHOb7bQHf/YJItg/dhxjfBwC8D9ldM/NAn+6WjNNAxZZw+d71u5PxV0dsDKKHrui/JRjeO8vZynrSvbXtqkNmzJ37mgnT2vZ/HsaPwMMf+fo+tN9z/X6Pp84G8ln45g4EmBdwHazrlyVY+GEqKLQx9it8OOnBL7D0b0kXYLT9T+FgeB8EnPOblIpteGbu5w/X2fk0lnJCM/1AX010Blw/sVu48wbSSWNq2KWki/PJ1RSUUnFNA4ppUYZ0wYnagedP0S7Pja64G+nZ3IUkYbbYOGQy8E+pUpq0x++x1wRut9d5I4VUDWSL853N6MuQViVzU5Ve7+vd/9zn2pz6YACL3B93cuy4T6vMbiDf1/0aXg9oyjgf/7ilHUpCYXP29MRpdxSK4f90eeTiKIxH62gHJqTQ9csjWVROECqE46bj0JetAFb93y63kLL1jZzGEjP0pD5KOQhq7mYxWilSVpnh7JWiMAl0ZU0j3ruHx0On4juHkvC9j/v0Bw+lRwcmqtuDZeNYpFLXp8krZ3gY1Xkjx2i+8yhHwNKHPpdqQ3fL0qyUiGERyIU4kCF+xCY8mKecLn6++w+nxr7YGkl9cHn8GPpt6Fwys9DMaX7TU3eqEeV931K8X6wM0yq12XDupTM07AX173dVERCUEjNr55PmKe719V9RuDBJA1YL0ry2mMUJb1An9QNWluUv9uGcDyp27cU1v3eO6yM/pgRCp/XJ+lWK+gAeDtMAoZspaLZZdgMkxnYaiQkccD5eMtw6ub7WPWwG3kjyZVibIKDQfp+0NwNqZ1d5SEdgUMjEB7nk5i8lrxudXSGyvpKG1aN5b6oaSQIYQl9n68uJixoesVy2FtXP5K19NQz2v+sULgqWHc+PDX23/Fh1fmzsxFlow9qnvy942+Zg/3nOfwMf7B/Dd/9KPAJfLd2h6yOolFcrSsaqZ8UUP57htSGr2+zfm6PiV8fu7dDe/x+O8uVqviXyxUn45DQF/zz2zmTeFDo2Qck2nhk2LK0n3h17aRD1uSnjJ9yXT81B3/vCMVWt8SBhYplIZFmy8h76l6696tz53m/KPnq2ZhQuJbW4Th0hkptqBqF9SA4kMN28VPHCA7F3z6XofAZxxFJ6GP0x59Rd72BD5dL1xIWiG389vcCAMeucT/B/zG6cI+uxfNY5jXGejybpNSq09d6bN/6VMzTKNO3xP1bje4a9sGjLladJeFOrPrvffwMMPydQ2qDUoZMWn73w5JGG84mMb99OeVsHPGvH1b8/v2a/z144IuzEb7w0MbykEnmSbBjWXQsuNr/vn0Ufrgxd7/jUFELEdtg0VqSOGBRSupGEZ6NesR6FDlU99vbjEUpWWQNjdaEoe/Q0FqhrKb9GALhc3WbYT3LySjpWyGOovNH7qX/r6WzX4xDtIVx29cutWuPONRbup8U/PU2409Xa4z1uJhG/JfPTx95RIOja2Is83FEWTuLtUmyG3AWjeL9Q8FDua2mvj1Ld753CAx1Y9jmsk+TVdpyNorwrIdWrj/cbeT+QdGn4egq0eCSsg5g6DbYrj/arZ1tYlo2uq+8/S0VaHeo4uyapOJjfsjvH7aWh3Zw9o6igP/65Rnf3eVIrXm3rJmnEbEIeDlPmaVhv34Pff6nHmy7ifl+Enb486Q2bGqJtbvz/FRVdX8eu/75NAxY0LAoap5q4Xnq+t8vHOU+azTPprs9sZ8y9n+3aBRKKcBQ1RY93u3NH76Hh6ptH3MQ+XtHd71p69AxXMvdzz9lTxk+TwDhb6M5qY1zqRC+83VvxyFmwqF/q6SmlMq1IHhg7i23heG8lChrwWgCH+7z+qCQY/eeJqHg84sxb09HpJHodT3CQPBqErXrSPPXu6yn8u4Lr+7Px7Dv9O8N0ENx2IZ4/7uH/dK9+00LOtxnTd8q0H3OkNWmtX20/jptnO7Z7H/ny1nMs0nMm9PRJyfAXfAY+T65VI9YC13S1bGthi0tp5OIk1HUX9tQWf8k8hiFAeu84mQcOKCpkr1ieffZXV/7Z6fpT5Y4HXrG3X3uiy4f26OfrDpHjxmJP8V1/702lY1y+3AHiMSBQBywDezGoWS7kcdbAf7eIbVp98zds/bHxEOHft79WweQSWMx2jKNQ6paH21lgYG+RsuO2o8Bhs/2U+wIH13vJ+oPHJuvDvzoAJKfeihtd0C+eer216LWraieA4u7/eRj95KEPr+4mCCV4Vnb4jOc/+6+9pnAV+uadalI4oAkPMx+HQq3fnn+8faIY2MUBb31+CgKORk5B49j99VdL/hYDA95RZqEzNLdts+PtXj9PfvEcP/vhL+PuXsduhbXruwYo5tSMorFIwbWx767a9F8Kk6r5VbfJDmEFP2Nw82Z6PU3/i0Bjv9/j58Bhr9zhMKxCAppCYylaAxeWfNuGeJ5nrNfBLJSs6kVp2mInluMtbxtreyOUbP2R18lrRXLVgcgaIPo7m/czyV/usl6lPu3r6b974xjQRqLng7U9ZC5A1JjPZhEIU6QxsfzfOLQBw8mccjZyO83AuH7pJFPVjQYLThJt31FH3tJpDZ977LShmUpEXjge/z21bS/pn2V6kMbZHfty6LG93ymiaMIr0unput5u8s8EB6LSnKfN4ThY92BolG8X5TuUAgEaeT31dQhiDPsyT2UoA0rkF3AGfg+aejxUApuNiU+PuOXwUepzftJ6vD/PxRUDC0vb7Omff4/LkGU2vUOPp+NSMLmkV1gdw1pKLDA1bpGYzASRumucE53rb96Me2tx4TvczaODyZkQ6DAXfunralj1bljB3b3N06BHqKTp6uqsJuAqraK27dYoDgbR5xNItZlS4ceVJOOHfKderhLhN0a0D8CmHhqTjqLwc7acNijPrzPQ9Tx7u+xlmUr9Phv1b/YJSGHWED74MGx5Gn4bN6epj2DIRSP3XuYcJi6vvcOr0rH+MgawyR271BRa7SF03HMWctmOG9bT449s06INW1p3e7d3YqoSW34+ianrhXLWvFfPj852nt97H3YB86eCiyfCgg/Nt9KtxZ8UfhRZ4FQ7LLaPj9/LNI6fDZd2tiDE+0e5LSEPn0P6/ZjITxC7e0Iex0C07q9dMgECMUuvXmaBuB5TGLBpGVBxMLfsVfuAPP9ZPZvqZh3z6lRYR807z+zbv84JE68/5z3E+9DSUQgJM+mMZXcd13avvsfWz/H3A/+ln1DasPvPqyYxUEf94TCx7QI9rD9JgoEL2eP+8wBlK3/plaAT7m+y1WFNdYVCtg9a/9ecKb7DDwPrMEXzno79AWB8HYKTvuAxJAd9ZQI8n7LwKfcs63d/P/Ydd3Ffh0gVtaatN1X94G5v5VlIrXhZl251pyh9kU7j+uycXGRR2uXnTz5nELhXIOUNowiwfgIKHII2Ao8CAOPVVYT+buxjjf4uy6pjgL/4Puzf3/HAOCX84Sy0czT8Ki99U581V5vEAhORpF7h1oQoRfffqLF61DS/2PW+6Gz+aki1r62liuCJIw+d8LOF5N4J7756DnX3v9TwLUylj/dbPp7TM63grOfcq+Ndtp3h35/uFe9OfnZpvLnMRhR4PP5+YixsFxuKu4LybwOmMYh49BjkUsi37KqDC/mCaejiDenI87H8aMXfJ/CNFQEBvo+ULywDzzTNqDd/qfJGkVeS17NE6pa891dzskowgKvT1JORzGnI9ficN4eLB0NdJE7waR9EbLPzsY7G0vZ6D6BXVYKXSv+fJ1xNnb0+UMbxPBlr5Xmdl2RhAH3WckkDnk2i3uLpi643Fep3v+87rovVxV5I3m3KjhPQ57NXKAolfM1HiaxofD5zYsJHh6B2B64XVVOasND1pBGPlIZwsTdy3ATHUeib58wA8X3Lhj18FCZJfC9bQVhUAVLQsGmMkijuVmViMCBOIeozfsbeBz4jzb0URTs6njkzmHjbOye30ka9dZxh9bXxzbfMBD9Bjycq8D3EH6rpm8MZW24XpUsk5AvzsrejnM/iZ3EoVOt3mN5DIGSjpbs6GOiR85tbfHx8Dx2Nux9JFzq4CgSPpxbpQ2TJILWt3w/0RwCf/taKdo8blN5MU+YpxHzdPtedgHwvqvKoUBPaeNalbRl9oQH96eM/Wt7OU8YxUEvMjsMHmgUo1jg4fWJXNcmlIbBo5aP6EcGzcPn6/7WqSbvj0MsoE8JYg4FQr63tagdR4IyCXb23oO9sXsBYlfBVrriel2TlYok8lHasKkaXs1TrEffx34sMDok9DV899alBGM5nzrBrkUuOR0fd4L42FwfqjrltSLwvU+ay0O/0yVzFsuicLaGeD7z9u8OJbD7yd4keUxddSwZRSQ8brIaqTVBEPByFv/NNOwucO3s4R6dSXuf291zl/gEvsfrkw6Mc+vo3aKgVE5L5jfPJzzkktNxiFSG61XlACZjqZX55GT2WBA8fAbaWD4/Gx+9z0Oiy8eSyENifEMHk+48G+6nnetSZ1e47xKyH7e8eyhbsFTtCHJ+ymiUQZtdu+Faagrf65OKOBD9OfR+4az5kjhglu4CucME9VNaAbrP/DHrrJun+SjsRaU/tYL6qZ8vdSsyPIl4eZKitO31JdaFxB54DpXUSGN6dhQ8ZkR0bV/f3GWtaK34aO99t64i4UQ997+3X89HGCZDQExpzXf3OSfjEDwfrKGS5u9imUjtNFM2tXzE2hiCiJ0waNf29lSCGYqta9A8CY8mgYeALbyGUhqkZ/uCxFP31CjDH67WCM+jkM5u2rR7wLGzcHjv3bupjeXZAdvx/aLCPA1QrXXxcL72i1VPxeGf0kZ6bHT7/9BZ76nPGGprdXbwsMt87c73T2kP7p7XxSSmaA4X+LThUeHhPq8x1jpHpwMONV18XTSKu8zp2FnvMAOkW5v/SOAC/Aww/CRjFAecTQThaMxZrchKSSx8hBCMYh+rDV9dpHzxbAzG4nVBr7cVYdsPMKQ2/Ol6w7pq2kTY76vRsS/6F72SW3XmUmreLwq+u894v6zQxvJqnuL7HtIYbrOaaeSzrAxJ6JFG4Y4QUZcAO/958eiF3U/6hPAZRwJlLVKB0prLVdlXtp5KpDprP6U1m8q5E9i198i7/SnaWnfdoRBgLHHgkreTJOA3L2c0yrQI/uNKShqF7d8OmB+D/vlAeCShzyR1OhJAv8E8ZBV365JCGRa5cr7K7ef0waixCGFbbQxXQei8yi/SwOlg2JrQ97nNG87HEYEQvJo/Tij2N/B1KQ9SynaCe2ipu87a0GK5WlU9dTlqk8dlIR9tvsP5mqcBm1IxTYOdw62bqy/OR9s+RN8nFh5n04QXswi87UZ/CPjoXQ721kcHyHTPNRQ+WNtXk30P8mrNxSQhl7vVh09FwrvRBedZVaENjKLBIXSkd3b478I/3KbS/y6u//xm01ZAY/fOdMHMMLDvE+FE8OfrGk/A/3gn+e2r2aPg51PR82PXtv/zrqd+XboENG80F5Ot+OWVrBHBbsvHoSG1oR4Ipu4/3+H+8WKabFlcg987FKx0/26BZV4zinwuJo9bB/bBgeF3no4ClqWj4Hfrontf7eAz9gPEHuT0fV7MY9IwxPdtW2v3iKMt+PUpYN2xRLlz7sgqxekk5u2pax16in2zKt2eLI190tWme3e8dt8Y2s4Og+u6DYqOVa2GWgrT2KeWhjiE319ueiDwUAK7Py/7FbpQ+GS1pq4V96V0+1Tpkox90duPjY4JVDQK7SLDR/Zw+885CvydxKcTWysa5SztkpgPi5w/Xm64Ky1/vM745cWIRttWt2ArrkujmM/iR25Ax57hU/bG22rd8XcuFLsU66EgZ6ft4wRFnZjjoe8Zity+HuomebuuS1I7tuBTCUVRK/50vSEJfSpp+iLGp4wO3MezZPXWmvE2a7jfNM7VpBV57s6hrhhQ1YpIwL3dtugM12LnLPVUPPH9ThEhwH+iDWM4/3geee2q5UWjaZQ52Cb5VDX12HwcKibA1tYwObBX3mUNwnd6T6/m0ZP7fqUMi0IyiQIWUnE+EKo9dD1doSsNBajdhHkIQN4FARez+FELxBAQq6Xpz5WiUeTNpwNzh+a0UY4dUbVJ3flEP4oBQrEVet5nMjzlhNHpnX1MA2r/bzuXgEo65tu7h4Kvnk2evKdOrFMq9/ujKKDWWyer/fgP4n7+u3giEN6jPWP4/ALfCaGWk4g0CvB4DKwfs3Xcv99PBYHde/HYpnmoI/exzxhqa+3f2+WqYhQ6PaR5GnwS8DFM7o8BDMLnUWyxLlvBWXj02Y0yfHuXsSrlwRYlO+wf/gcePwMMP9EQHn1PYOALDJardYVnXVX7blPzw33BJAn7FgDYLsz9A6BoFN/dFyShz31WczKKeH2S8mwC83HQW0wOkehNJVlVkmWhiT1B1RjenCYsCs39unaB20mCsM5z/rOzwyJq++BCd53DZN4lfS4oTpqATVlRS4P1YEhfGh48w0QqFI4hsakaLmYxn7fChfve7X3iqB9X27uNTSpNbdzGOYpCfOGog43uqu+PN8VOhOwkjVyCbC3TJGSRN5RScTqOmKdhLxbZbXzrsuHdssRa1zs4TQWzaKuUHvoegS+421RUjW0rDS4xuV5VfdXhZSt0+MOyYJOr9rMOr639DXwUBVxv6oOJdO+S0bInKmnwrOV9a/H2q4tJP5fLAZW5m9usUjuAVeeNju/xz2/bOuVgrtZVwyR2c/TZaYpWmodSgvXZESvqaHjC79HwoUjcMKGRuqGSmsoqdN8XJ/rvjgLBVaVJYwUD9siPRcK7uX01T6ik6rVFhv++T9c/9O9PAWFSm5bZobmtaizuO7pg5pB7RdloIuEqvd/cZrxblJwOaJxSO72RvFacjkOmyXGWw8dAuuH9lI1ubdFCyvb/79gPi7zeAkZHAoD9YHioHdAlS8rQJz31kaSpr7zt0YxLqXuNlaxWjD7fBUz279VYu7NnBcIHY9Fm247SJY/HWAXwWGgNa/HxiYTHWet3D4+pwvvB78d6fEdRwD+/ne/oXUjtbB0PzXWnOdNR9//L56e74NYBJkaXjHSA535w/VTVSupdLQU/FoyTgNAXLEzbVmA/TptulOGHB+ciU7euROAcMJjEqPuMvJKMk8iJxh6Z22OOAJ193hAEPbQXDJ9DB3h4QCUVtGJroyjo9/1lKVlUDdLAMquQp+lRcV3HYIqefN7dfTwVBF+uKrQynE0iPjvCYOjupfu+7r+iUVytKgQetTa8nMcHv6d7D7p7uRicwd3e0Af0bXwwdOF5dG+eKzZUuP97bBwCSaU2ZLV8ZM24n1R089adQ10xYJ4ErMqGNIz6ZHcfVPkxzyL2P85E6N5tcHHOoRahp4Ckp8YhoHBnjzrS7tIVjMq982t4zZ22ThT4bFrnGNhNfPbfmyFg6z5H7HzvD4uS21VFLg0nraPayR5YMQTEikbxkDdO3ykQfDF1cdKnCE4emlOlDbfrisD3WeS1awk+si9394+H007KazZVwzQO/yaq/zEAaRQFBEGALOsd4OTYCMWWeaWMJQl9fN/jduEYhIEQaG14WJZ08d/L1hFuGE/8ohWiHF7f9w8FWdlwtanxsJSNbQuKtmf5dn+zKtW2KHYgRxle76docTTKnVk/PBSwpxXzKZ/Rza+HcyLaXx/duge2//dvZL9llerZB6OodeQbXF8SiP6zxwfa9tz5pI+2KP1fZfwMMPwEQypDJaGRlptNw7NZhPB9tLbEvsdt0RCFPqui6VsOpDY7YliHNzOXoG5aOxOpLc9nMfPU0RhhG3gvCqdwLXyP0PcZTXzGiSASAc8mAiYx9c2aVeEQ6nGyFbJzL5H77oes4WpVsk+VGybz+B2y7ICIz8+C/rD4623OzaraoS/tb3zPZ7FLSM8ERRNx3x5Whyqs3d8f9JIebErjOOCPV2tnZ2ZMe4C6nqyTUYjwDzMpTtLIIdJtlffZLGGeBqxL1TuEdOKSr+YJ91mN8D3qxnC9rkkjv0+8hkmQ1GCs4dcvAqbtHA5VrUPhczaJ+fa+II58rlYVk+RwtX1/8+2E94aJ9DDh7cSNRpFAaWftFQvB9aJkFgecjmN83+sTOfD6tVjWW1HIoTf6Mm/oFMaHc3UxiZglYX9dv34566/ly/NJ+xmPVeWHInGrUj22tvNddfliIriYxDt2no02O8DD/mH+qUj4cEzj8GDwvSoVUmkqVfJylrj7Z0vj7/Q3jh2KofDB9xmFgjgUWEwfPA8T+KFrQlfJvt84W9LT8bYlqgtWs0qRRALTtmh06/vQu7MTlB/52V3WUDWKRdmJ7ImdRCIIBC9nTwtOHgrQu3/vVNyttiwrydmowWdrHwpbR55h5W24/8zTkGka8GySsinlI6Xo/QDPtO94t2dV0gVnz6fpdi4+IQAZBtBdBWmWhPxv4rGbwhAMPbS/f2w9Dhlt/T5leQSSSm2opCYSAXHoVL+7+RgG0MPrv88aHvKKURTytnUM6GjCHaD0VNVKakddD3xIk4DXJwlFYx6dCR9LCpaFY07F4a7lb+eA8XKWcLWukEazKOCzs8efcbmquF5VGOiTO6kNvhe4NbUHgqbRY+2Y4X394XJNVjvByi8vxqSR6MXWLiaRS1QDD2M9wHA6jkkj0TODHKDAzprv9sSnxrEksfsMPIgjp3FT7CWYh+Z2mABOE4E18Pw0QSqN1paHtl1kH2g5xnLqgIt9luVQO+QRaOn77n1T6tF3daNRzrI7DloHouB40iy1c3CC7fryPe/ROQTsCDMPWSWfSoP/1ISkA7iG+1P3v++ypm/L2U/6P/VaDl3TvoBqJ3B3CAT/2H1IbbhaVUit8fA4G7sW2mm6ZUjsx0pdRbhjuh7SZAo8CEOfKm9QsY80ptdc2r/GURSwanWuhkyL4VqDw9pFUu9ax3bnjWu981DGYKznYiCl+/kGHrUNLUuP7+/znk1xNooPApJPjeG7VynTxwrdde+354BrVzsEHgMt48oS+h5aW26rEmVtH++No7C3pu/OG2cvbLdWx9N4h/1WNIrLRUFeGxZFwzgRvJgnKOXer/2i4jwN+O6uJg79gyLr+8/zKVAgFD51K7J6SCvmqc8Yzu++Jtb+7w+LE8fY4R8bRaP44+WKUmpWpeI/f37y6PqGMfmbkxGLonk0H55H316836L0f5XxM8DwEwzXggDTNCBa+tw8VEhpmCQBxji9gtNRiLGGRuq+z/8mq3nTLtJ1KXY2607ROqsk57OEL/Yq/LXaBjJ3bc+qh8fbWcKmkigDZyPXd180GmstUSgoGsnlSuN5lnkacrOqeCglgeczinzWtTpIlRu+UB1FsRtdEAIwT0NGba9/2bhKZdEolNa8Pkl37sH3bHvQuKDh2IH7VJVnGAC/PRujtOkP9u4ALaXmxWxb/d2vCMThLq1XakNRP/aT7pK/JBBMopBVWQOQNe7QejVP+iRoGkd8d5fjYZHKBf9DNwKA+9ytg0D4jEK/v8ZD41Bw7NH6HONxvaq42dRUWtM0DnASvtcL/VSNwfd9lHHJ/vW67hO5i3FIXjubOd+nR1uH3uj42778faQ5GNBIh2vBUc4U395mbY96wKv59v4C39tRM+8+V2rD3aamE70cbspO2NTjfBJh7XZehkHIj3E96L7vkFPEupSUjSSrFB8WJXebis/Oxo7y266hof7GsefWMTtKqViWthWrC/sEfj+w7yrZ61K27TA8atPwfNpnFLXJ9OF7229LCIVgvJfAbmrFomicuKuxjKOgr2ZcTHjkJ78f6Nna9k4q++yD7nvKRmGAN2cp01KQ14ZASG6ziqhVZG5UC24dqbzN0pAkDF21rV2P+/c6DBzd+g9QWjiNEOA+bHrw6VMDkEMA5zgOOE2ccOB91nC3qVG25uUs7lsqnqqef2wM96lDFEwAz1oKJamUz8V0q7FyCIyV2vTtIF1LV5j6O5Xo/cr0MIDrqsFSa+5yxcuZq9h31m8dGPExB6TLVYXvwYdVyWjAlBvuK/NR2O89h0Rvu7mJ99o/sM429NU8fZR8DsUJ94ULAbJa9qKMoe+sKoGeJSF8j0AILkYhhefx2zczvrpwNOf9tXNMaHZ/XroK/pO0bM8nCX3AOncZ83ENko6xk4SCQLg2iSAQeNpgP6FdpD8nnxhPBsqeY6N4eD0DZX84VxaN7/sIsctC229R6kDHSpq+Gn7o9/56l+8IMz+fxRSNOSrot/MspH78LIKtDWHXT121FO/7zIFk4+hx/3WXHA7nuUv6P+Va9ud5eC4eYkcc0qz5WDW4aBQ367pvY/nVi/HOuwiP4y53c481mYbXGgaCkzQka+OdTam53dRcTA8LOR9iWgzX4CGtgUXe8MNDwSEB685FYVPW+L7lelORVQ5IXZay185Kw9ABo9AXa9Iw4MOyfARI7g+pdsGlbj43ZU1WuXntYoWuSDdsz4EW0Jcaa2A22v0uqbd6PeuyIa8kyli0tr2TVxoJ1uU2/rvd1Gwq2bYCOl2c/ZixbDSFVChrmaYhSeAzjQVBsG0DHuqPXK1rilpj8AiEPngGPTX2n98kCg5qxXzqZx3SxBr+/KnixI8ZZePatrNasSoavrvLd5ziutFdw6EWxihwls/5E4Dw/xXGzwDDTzBcsow7fOqGxaamNIYLFfH2dMS1D5takcYBk9Qhj1jLD3c560L2asjDHrCoPSTWkSDM3OZxCI0uG43A66vMJ5OYX1uL1FArzX1eE/iu+neaBtxnNTfrivtNxXd3OXEoCHzB+cT15bqeVUeV65DRQy/I/qEGbtPMKsUyl3i+o4IvS4nWZqCw71DkRrle7f/+btULtvzz2/mjTWNYaezoWseua9iDOjxAs6pimmyTiS6ZlMa2HsAHWCRHKgAd8FM1Cs+PSUJBEnh9JW6bBDWsa8lNVrIpNZ+fjQmF19usSW1IAp8Xs5hVS0vd73vs7rNbYx19+SFraLTr48pqw4tpzH2myGtnwfTDIicOPKIgYJq4Vo7S15xPR5yMQmdfOjjYA+H193s+iXZ6njtv9K5tZv/6pN66SOw/k0XW8H9+98D7VcksiYlDj0oqpnF4kILd/bcqG769z7FtC85QyKcDebS1fYB+uap6YOnVPOnnyQVwPx4VB/o+zqt1hcUShQHjONgmPO18+d7HD7BQtDoPmUb4TjCoS3qOVQK75Pd8Ej/6uQsgU2qleTlz/7c+QqPvDvdKKjyifp1Kve3vVkr3vepBG7wMr2XIvBkGGfvJmgc7B3zX1965p3gWNmXDdSaJBERS9PZzq9K1Fx1SYR/OSQe8DNffPnC4Lhsnqul7j0RCR2ePAYVPAaEOMTMC30NpyyJvHBPIQN0oxklwtHr+qaNLSA5RMLtgapyE/OJiwvk45qxdT/sipMP56dpBqua4hd6ruXv/lN7S04dCevgevm93KOzdWSCN4mJy2GZ2OI++79NIjfC2ekTD919qQxioXk1++PeHzoNxu5+lUeBEJ2HnvjqwMBBee19dMpH3lON9UcaiUfzrh5X7zla0USrLV8+n1Dc+5+P40TvbX2P7XpW15F2zq3vQ/U5WKd4tCidG2wId+wlBKPzecm4SRWhjnuwn7tZMxygB+lY/gFV5vHVs/7v37+kpen/3N153PlicnWt7ru8zUID+zC1qRRoebot01zwQmd3UBL6Lk96cpDu/VzRq0L6jCZMtq2Qo6Hdo7qQ2fP/w9P19/1Aglea7teHFomBT6vbc23WNkS2Is6/95MDaiIdWC+bH2EYP34t90etjxZdDCdj+vqesoZIWZbtCz/Z87yrildyedx8DZLfARsTFNOEuq5gl29aWQ/d5qB1ueM2HdGS0ttysa744H/Fs8phJcT6JGEWCJHIWssZUeMDtuiILPb5fVL3D2quTtGc9Yu0OG8b12O/GPVIbbtYNYeARC8FZKxh8vap4vyxZ5JJJEhIHPpuqoWh2i3Sh2LY1u9s7bFs51MdYN5pJFCI8zThyDkR3WYO1lmWhOBtFZI1shYgNtTSME5/bTU0ciB0hdOF7rCrN80nEq3naC7IDj9gqw3a4UfjxJHm4d3SAxpBh4nkc1Ir5lDGck0N50HCtbFq3hkPX9inJvgPaHbiQxI4F9RG89eg171ueH/v+7ueNMv9QQo8/Aww/wYgCn1kMDwYiAeORYBQINpXiu/uci4mjS81Sp03wIWtcwJZLPDyez6IdQZckFD1iZq3l+2VBViriwKduFL9+Oe01GDo69TJvUNaSVQpjXOVgWcl+gaeRzw+Lipt1hTIet5uKVel6/2ejgCT0eDVPmSauYJpGzmZvVUin9t9W5oYifGkY9CIzofB7uvftxm1ksyTiIa+R2nA6DlkWTt9gVUg2lROTw1hOxlFPwX+Knne9UoDdERTb9653wVpHVbU4sMTsfF6XTAJ9RaCjLXZV0WNVpe4Q7aq6i0JRNGYnSf7nt3MesoaLWYLnwTJf82GVY4yPEAPk1nPJmBCOjbAfqAytnDq65yyJWORN2zZjkcry4IE2lkY6pF74ELQHdhIKR5krVU/PO1Sp7AKH1/O0F8Ib3v/w8OisUK82DS9nztbIWnaAGqkN/58fFnx/X3JXNMSBj+eJFjQ4LhwkteHbu5zbjatsh4N+xe4arLV8WD6uvleyYRyJTxL26T7vECq+Kpve4UR47iAspSFrNLMk3Jmv0+TjVNp1KZHGME9jwDL89aNJypFAcfh3wveIAufIcmiEwvVyXi4KNqXiw6ri9Xwr4NapMStruZg6UbpOc2T4GU9SuO3T4p0732MMtfIIBdQSNnWD1okTUrMO3Hg2iR4FjPv3lDe6fy86p5shcKiss4MM/V2R0C6pfuqA31+Lw4R2fw4qZfj95ZrrZcmq1vyn11MXjGiL8h9Xz3/M2AbrjymYw8pfKPweXHjqeQ3/3fN3/33/mX59k/fr4vnUOft0QnplrQeMiq0uyr7TwDHFbjyPRV5TGUNgfGQhe9GzXYDN57pqSELBXdZwMWEHSLyYRFyvHDi6bO2Iy0b1tmydG1HRKP77uxVKahaV5BcXIza1IfRrVpUDvFV7Pg1FGbu52BdttFgkHnmjaFb2kYhf1wp0SPdgyLTIKsWmljtAR+fQ8MNDQSU1SSh6B4azUcyfbzdH38Nu7e6zDO+zhrxudXU8drRehmN4PnY2lbvvgW7Pgd1K5vDvVkK2lWrxUdvlzpK2E6Lepxh3n/2UyKwY6COEwt+xQn07EKqcpSGrUj52ixl8z1NnRvfzULiWtCQUbErFQ+6cFNJ4V6fhdjNQuZ/vtolKpR34QgXe8XNpuBcN96Fhq2F/jZ/QDnEQILJQS43YY2B070y3B+yLDH/KXpZGom9VjI6ccccqzt3Y38sAx1xqGT0deDt0TXm/KJwDiXEivIusbosuJXEomKYJJ7XmxSRBiK2F8T4geajwVSvXelpJjecFCLZaJw+5ZBaHLDKFB1ytaqZpQBpWj8TSh2eVY2rt3nf3bkjtWn83pYt7O/BfarPDllgWNUkYYOeA7zNOXJxosT2YEQqBxfJs7EQ3X5+MeDmIBTogbyg2fex9OrS+upZAa22/12DAWEs5ENoMhf+okHbsM/djoKeYqV2sc0iX7GMA6f4YRQH/+fOTtgDrBOF/5PH96F6OuX48+rmFN6f/OFaVPwMMP8FolOE2N9zrklIaysqQhIpZ5GjcSmu0FgR+yNk4aUEAy+kkZlk0jGK/3UT93if9oQ3YsR5fX2/IC0VtDN8/5NzmNZ+djvnyYrwjDAawLBoscLUsqGsFnkUpuN3UJIHzia7KGmvg2SwmFB5v5in/9GreV9aHn9XRRrvKnNuAGvJS8u6hxG+F/GZpwLJo2uTWgQ1donG9LllsJNpaXp4kPJ+2NkuhR6MN391npOHW2qlLyspGtpUAjdLO2hG8HUGxPgHYC3IDIfq+wlFXQbSt6ErpwIxAeM5poaUtKmNYFGoHvDi2EXVV3cBvWEa7m9YoCmDS0uaqhlrbNtl3tpddP+BQXXhdSL6+3vCrF04A1FUPtv1q1hq0dlW7h7wibzRZpXlzmhJHguepC5ClMUxTgdEWIXw+Ox31PbTdtbkD9XHlPBSP6V6HgB6pNMtSsszcmgp8idYeL0+T/pmUjUYry8UsJqslxsDFOCYS/qNgaHiYFI3iblOhtUemJEmwDbC662i06z8/H8euEjAAkzpxz666+dR4GhV3LJ4kDPnsPGWRNVjPgUHd34Zitz3kUGDYtyhsaqfJEglG0fEez+Hf/C1e4IeqZkprPj8fb9uT2md8OnICdljbBxvHALVD6Ptw/obinftz2Qm0bSrZBoiCTeECss/Px1yuyx58HAaMx+7Pac34aOvoz075X/TA4YXY+ql32gC0AN5Tc74fADxFdW+UYdNYzjzLL59P+OPlphV0/bijxI+pphwaT63bQ8+r+76eHRf4BEc0O9y+I3k2SblaFixzn5c7rjrRjhYHOG2HRbHbI3xonrv1mJUNWhve3RV8djHCYh/1SJeNYpFJXp+6/WZdyh7064DEIbOmAysnsVN5b9pzoWw0GMskDbnPG0IhSIXh24eKUio+LIpWDG28w9wCdqrFnWjjupTMQm+nAg1bTRmpTasL4d7xY8rsPo7yvNFbh4aiUbx/KPjXyxWRL6ik0xF4NR8xSRzbpFGPQbCnXAbc/uQTeB6nk5BKGmbp9ufDNfJUkj1Mmp2dm3r0d53TRSjCXk8jDLb95ocqtY5pd/xdD1stp7tNtVXFP5BIP7VPAY/cYobfMUz4jn02nkdZS5S1LSAVtYCpaZ2Mtt95CFwZgoLDKvN+b/v+8+yEV/fb3IaA4qeI4+3rPwSi2+c8ssr9W/f3wz1g02vyPM2GOHbt4BgG3ft4aD6eEqI85OhzqPWp+0xttgWDTqegEynW1rZAmdgRkdy/n84uuCt8rUtJoy3L2jq7QVowc6e1wZJEIW9OLWeTiMtlxTyJeMgbXsydy1fXZuaADddedz6OD9Lvu5FGomcxdefi5arialVxvayZjBxTJw393or8LmsoG8U0CQl95zQntWvNvs1qhOdzOop3nsUhselR5KPE46LDcDR7grrPZzFaGeJIEIQeq6rpRZU/dRw7j59ipg5jnf0z6GN726ExTyN++3rL1nn3CW4yx0YncJ+GW6B5/3732yF/Bhh+Hv0oG819ZciNxscjTX1GQlApQ601WdVwkgSEvk8hXTAeBT5R4GzuzscRlbK8OQm3StQ4m8FlXrEpNQrDqlCMwoBFJoEMrOXL1u6mC87yRpNoQxAGPJ/5VMpylobEoQsqA9/HkFIrSxIJfHz+09uTXoF6qCJeK8OmkAShcNTuVnm8UgZprROsCyI2Zc1frjcgLKtc8x9eTRFCOMq5FrxbFISBIPKdAOG6ahjHbrM0WPCgMboHNu6yhk1R87sPG05GEZPECf0dEpkcovhDO62iUczSkEB4TGLXK9/RaocI6ywNOBvHPJtGgEdelUwHApiHkpFhQBIGglH4uKLUUdjucsksdtTlSeKYA8uy6dthgiCgzEpyabC15NvbjCQKsNayyB21M/B8Zqmr1DotB8PpGN4tSpLQJxRiR7X81y+2YmOh2LZWdGyF/XEsIeh+tt+HqSyUtcJ6cL0pyQtNnAguNxW/fTkFcL2+wiPB57OLEc8msWsxMJbz1gb1UOA0jgRxEDBNDJcrifA91qXqASULXC5KGm3IKs3ZOOTVPHWCR2nYgimm1324XFV8fsSH/VAA0wXOw0N9FAXI5LEt6P487R+K3dwFwvXyDhWtO3HLg3RjpXtg78d4gQ/BiU5oqqskdc9w1CYCnTdz5xDy2dnTKtGHvr+bv2Ebz/7vu//tko0kDBxs07aEnY1dovL7yw1KajTwnz/f7QU9GOwDV6sCY53drbvHLQtl2HoyrOTuCIoOrrOr0IKj7M5bS9b9dd+xVlZlw83a0YuXuUQlhijymSTho/72Y8/oY9WU4bMsa00af3pS8bEENBQ+9ohmx6qUrjqbbbAYgsDnw7JilgScTeJHwabULnh0gIXue4SP3VPZaITwmCch61KxLBtU6/CRN1trsSQULIoaZTWBL3hzkqKsZR9I3NeL2P/e3vqzlPjCiWFeZw3aGqZpiKXhYpr0QOHw3g7NcXemdC12jkrugIjbvOGz05TQ89iUDcp6PJ/uzlknADhPA84G67BoFLdZg4fhbiMZhU5g7OurdbvXxC2g+enV9y4xlkpTac23t43TC2j31EetgQdAq+6ZnY4C0jCkbCTXq6pv+xiK83bzNKzAdvdcSd3bTn4qqBYKV5Xs2ErTJNgRdzN7i/ipBPuQW8zw3XhKOK5LXt41itPIA8/nYhyR14pRLFiXcidpGIIrw2fROwNYiMNu73nMCBk+z054deje1QFuQxHBp+a0e7ZD/Qfw0MZysy5ZFJJFKXk+TXhzmvZ7wKrIem2XbgyT5P0izKFYYRQFRAPAb//Z7othHrr24c8+tu8N1/AsDWl0q4GlbAuo+3xxnqK100wDHu2PQ1YwLdurUYok8Ah9rwczT1rQQGozEMkccZKGrMuugOX1c7Nj8Zu4tREGPqrRPQsAYBwFO9f0cgBYd3M8jgP8wBXKKmU4G8f9eujOvlkSOjaV71Eqj89OE9a1xhgHzN9ndf9sh2LTs9R9/5AlOBR8H47uenoHtkYiAh9lLXmp0NY5F+0UAw98xvAdGIp3doAYsMOw6D5ruBaOCXwP1/+xopPUTldjGMt87L16anSaLU2bC9yuaxZFxmnbCvf2xOzcx7F2yH/v42eA4ScYwvfwPPCx1NpwkoQoY6mMpm6cMEupLNazRMJnmoS8mCcsSsnLeUIQCMrK+Tm/PRu5ynftvMADIfjiLGVZKIo6x3iW94uSUTzhJquxHju2Oq/mCetSELRVqmXR8GwWIzUEviYQPi9nSd+POuwxGx4QNIrROORuUyONZlPDF+cxl4sSaYzTlAgDNrUL3CupmSYRvu/uMRzQcGMhUKGlUoaTFnE9GbkDOhGCi3Hc2/ElkQBrWJaSTSkRPsShQ1u7w+ViGvfX3n3HxSRiXTpn+i5Yq6TiLle8OYmJgqCnWFVKU9aG+7Km0rKvgN5sKn54KFgUDWeD3tVhInIoIPmWXXGc3mc4EFSN5nzihC8/Oxv1rSPdAfzZaUrdKGwtSYOAUmkM8GLmEq0Oyey+v2vLwFjiQPBqnj5JXxz2ZA/bQPbt6Lpg89kk3vn7/UN7FAW8nMH7h5xGa4pMk8Q+vzyfsMybnc++mMT9HN5nFVmlkMopI7+YJ0itUdYijUvuysa5mbw+TUkjVzH98mLcC4VJY3l3n7MsFS9mMdNU9D2Ew4OmaFQrXOrEj8aR4CSN8LzHoNGhZ4vnRCSHa+wua/j+IUNZN1/HbFwf9b6315xVmnnqvKm7Ht1jaHpeK9a1ZBpHO9Xdjx08HTixLJpHopTdvQB8fZv1oouv5vGPqi4cGh3t+1DCfLgK1XC1rihrzbuHnEprXg6cSvY/r5/fdszTkNcnIyZpAC0V9lBLwBA06gRFh/oMHUME4HJZscica0fo+66avZdwdWukq9aMIp/fPJ/g+z6v54azcXLw8x85XbQ9+oetfPWWydUCTfebhpNxuAM07QT1g88ezvux6s1TFeM0FPzzZ6dcrUqstYxCwaaWSOM9ctWR2vTK5c9nKUkojra3DAGTq1WNL+Criwme5/axrt1uFLn9pmoUJ5OYF5OIm6yhaFyQGQiP52ncvn/ufofvorX0AFoXdHYMv+7MA3i/cFZkkR+ANZRH1Ny7ay8GCdNQ3PO+DR5DAZu84Z21nKYhlxvHMnu3KPnty2nve+/hGI1XK8U0DQmF6IFjPAfU/OUm5zar8Ty4Xtd8c5fxcnbYw/gYMNCNeRogtc/9xuf7+4I0ckK/r09GvJil/Zo4pMcxfGaLQsEIKm1JAg6K847bCtz+3GFtay33uN/8qdEl9sOq5D549ilMoKfAk6eE4/ZHEgoHaAZ+r1uU17p3d8gCjbb2aHtlL/5oLXeZRCB32igOXWvXztgVVspGuWdxQCTy2Hx0e/C+FsU4CllXkqk15I3iZlOitGGcBPzzZ6csi4Y3g/3rcZK8e55+bC3uj30xzE99nsfGIeD1YkKve3E2TnjIKv58VTq3Cd/j188nfRFgWDzYtwvOG02lXLzUjT9cr51jGh6zRPQAbCgOFCi0eaRpAFDUilLqnYR+6OQ1BGq6oSxgPX71fEooXKzYiTIP57CUmqyWretHw0oqvrvNkNoDMlalYhyHnI3D1uXDtYR5LasFC/i2B1GGn9+ocBt/7wnqfvXMxWDf3WV8vyj5w4cNF9OI//hq/uiZ7RdFQt/rtZOUNtxmrh14VUqE8HuGBTwGhg49/27st9wdYg0locdfb4tPYjA/NaTe2ojnUhP48Op0hLI5r1uR8qJRB9k+b07+cdoj4GeA4ScZrrIAfugYCcZaSq2pG01tAG25XjtP3l9cTLFYPjsdoU1OXil+eCj4/GzU++Pe55JNoUjigEks+NXzCZXSfPlsxMU44q/3OafjCOPA7UfiY1Ib6kZzW9WAR9mYvk/5elVxtSrwPL9vsRjex34y+ebMUafLRnG5KHm/KLGex+2m5M3pqP1Oj0ZZPixKZmngEsKBJsHr05RNWbesiaClVbnqu8ZyvSqplXG2WhbyxlA1mij0ER4tBX4bVO9TpQCuVhVlI9HGVUZPRwHLYkvjv5h6bbXNURyvs5KHTc00CRG+A0hCIXh7nrIp3Fz+6/t1e/9ipyI9DEgAFpVtgRjbV2hvs4Y09PA9jyQICXyHcg+90rv5+dWLKd/eZjyUEgxU0rgkw/MoG83NumJRSE4nEWejqK8mSb1NRp6s+O5VL+5yeg2NRVFhreud7xKe/b/f37RD4feJvZpprtY1i7ImaVkpq7JhlrgNswMc7jYND1nD85OEspHcrNwB4QP3RYPRljhwicLLecIsDajUhoes6YMwR6+uCQJnfxX6/sHKpdKtnZfncbOpmMYhPzzkvJqNyKXiZXvtxwCCddlwvXL9kV0Qd5KGvHvImcQBD7nsaY/DeVLG9n2+3WdGwiWsF9MIpQxeyzg5hKZ3zJc48DGlR+hbFoUmEM1x9fNW1bxuqdPKQlaqXpTSVRwdgNapaEvt+ruNthSN7nv5/5bxKfTDYcIitUFpi8DjZByxKhqktI+qRft961JpLtcVk0j0wYbMbK/BMPye/evrAFtpDKptWXvIDdI4hsiLecLpKGxr47avtu2v+w6s66s1ypLGYU9j7vQfwLIsJFmp0Erz65eznevqNCmGVr5DrQAN/Kc3s5YppHe80/eDoiFI2O07jwKkI8nVIUACz8Ozlkkc8C8fViyyBjyPX72Y9Pae3d8NHUqAg8ry3fz3gl9pxEvtqOVx6KMMeNby15sNtTLUUvPFxbhnkbjA3OdsnJCEipNR9AggHQpLSm243dTuWQ1aBoZJUt7EfOH7VNryfBo5fRqfR+DJUBytY5J1wW0ofKy1BL5PrV0706vTEWnkO5ZhLolTQS0NpdzOmVOHj/mwKDibOJYMOGZE3lar/+nllPjOWbgmSehAkyPVv2NB9XB9bGrFbdGwLhXr0iCl5cUseRKUG77bQ1p/EvosCkUgXLvJ8EwIhatUd7Tp4drM60/3gB8mSceqkp/KBHpqjobvxr7V7KHPwPOo1JYJOGxFWRWScctmgN2EsLvezhngIa85SQOmiUtCP3atXUX6Yhq3/fiPBSsPzUf3vd3ndGtsCF5U0nC/bh5pyGANSRQ8AkefEv47BCYXjWqtIx8/424+9vVJjj3PT3nm++/AUPciEA2VtniCvv1BanO0d5+IwTNImIQOFFkVklIZlNYkYYDS2rUeCI9GO12Wz85Gj/Zrz3Ns2iQKeDGL+z1s+Fm05ZTOyatrrRrGd/uWl0NwYTg/L2bxzt4/GTlhx3HiYpmu7c1inTNWe533Wc0ib/j2rmA+Cnk+S3bmv6wll4uSL87HTNPwaFI/SSLenrhWxkkc9F1i+8+0A9KXWQM+/ObFjGcTnBUtLh5eFopfPx8hW9YxcDDuOLSHdUWBTakPWpB2+5wx3iPNpr8VYNhUrr27Vi4PtLjWcQvgtfbcR9g+/0jjZ4DhJxhSGwQ+v76YIvD4YZkjlaWoXN9NHAYEAdTa8GFZYD0PrSwWSxL5rFYNy6LhdBS1lDhDGgsWWYXUltenCbEJOBk5Ab9n05RZ4vquArHtaZfa8PvLDRhLLhUXk4Tn0+0LVTaaD6uSujFUyiXbv3kxA+hRylG0pRtJvfWfxnMbkfFwG0YU8HqecLmu2BSSaRIySy3/t7dzLiZbEZNQ+JxPIpZFjW3tdELf52ZT82wacZKG5D4Egc/NuuH5LOaLizFKaa43NbW2vYdyd437iDPAh0XJqmrICsXb84RpEiGlOyQb4wCX61XFQ96Q1ZLFpkEZj5u1OxiqwON6WWGtjzGG+WiENMah68PN5kBV03Qgz0DoDhz7QLWghmNEbL3ShxuhA3JGiFXZ08JiIQiEx/XaWfpELYhlrcFDANv+1mO2dN337KtXr8uthkZjNHml2DSK0BcHqdOHKiJJ6MSHAhHwH1/FnE3iPvC/Xde8eyg5HYXtIWF5ezbiNmtYFA1/vq55dRKT15b/9GZGGvlo02k4bL9jEvmEgRNa7P6tVGC1pTGmbwvaHxbLpK2EnqQhoYDv7qoWrKmp5JTTcbwToAyfbScSOExypTZOf8F61FL2idO63lZLuz5fqVuPcaX5/dXGtQFZj189G/ctTZ1IaJfUwJb5cjZJCIRPHAiSSD+pfv71zYbv73OUwSXbsxitNA+lRGnwIics2umTVInoK2DCcwDYUMF++NkHE9ADa+Mp+uHwc/qASmo0DlQYxYJfvpjg4e1Ui/b71vE87jc1ehTwsJH84sWEQHi95e2hBEzqrVCq0paziaN7/sv7kvtNTRD6nLVir4HwWeY1xnp43lb8q/vsol0Hy6IhDn2ezRI2ybBysr2Gb+5yPixKojDgoXzcUtNpUnQUaPe/NUq6RHVVNHx/l/PqNEXpoLds3H/2HROiaqQTNQx8pNE7AdLHKtP7gET3u54HVsMkCWika5cbOmIMgaU0kPjsrqNuzt4/FNxmDQbbJxppHPLyJGip9h5ZpcgbhTJu7oTw+M2LGaOzYKfXvwMwhmfAUHPnYhIRte/hIdB9mCwUzSBxUoddNzpqetdTnISt01K71DqgSPgeZ6PIic95PtM0QAR+z4hJw+28Z5UDuiqt2VSyF2seJmfzUciybLhal1DRi+RVT4i57gNH7j+3FpTWeMAsESgjOJ9FvDkdHW0r2X+3y0aB7+P7jokwjf0dpkr3fV4U9Bo6ZSPdOdio3nbU/wSA4VASeSiBqZX+UX3Vh+5zuxbUjtXsQdaRdhomk7BjhWzZM6MoYFUqloWkfgII6ucSXLxmdH+G77RYDN7T4X/rUrnWyT2Ap7vGspbg+WANRRMcTNj3xQxfzROeTWLeLQrGsQNznKB2tXM+9cnbR4T/9veYspa880pezONHgPwhAcennudwzytr+cjafX+49qWGUSQ4HQWcpBEXE4/fX2ru1hWaToxS9DaVpdSsysYJd+9Vlx3DyGt1wRq0hUoqamkQgb9D3x+CT/dZ0wrEwsU07mPr7v3EGrz2s8BjFIlehBzo7dY9vL6w01le7r/7+0mrY/ZKssyJrRdKExnftS3QsrgCd39De+VXJyNqZbiYJkzibcFkU9b8+SbjPqs4SWP+119e8HyWHHxfPEAb095T0O5hjwtYHZA+TkMqpftzZhT5BGsPLFSN4t3CCWbeiJo3p5/GlunmJAkFtaq4z+tHBZXtWvw0zaZPGZ07Cp7XAguW55OYi4l7/uM4+FFsn3+v42eA4ScaYeAhAp+8VOS1ZhSGiMBV4ePItQxoY7lZVYzTkEg4JHRROHEdbS2lVAjfUeDTAJaVIhQem8rR+kPPsqoNzycReHA2COhGkbOg7MR53Mane5/c+7bCdr9pWn9sr6UjN6xKxeWi6Kvkr+cp4dzvdQSy2vB8GnG7tjSN6+c8H8dIY4kCwct5wOW6YpYG5JVGa9ej2fU7v1uU/PBQ4rXMh7xW1MrybOZU9eejiLdJxKaSrcVQQBKHvJjFJFHASRr0fZ+l1FRSsak1gdeBIYKHouZqVVE1Gutbfv1ccDqNeOZveybvMqe2W0tNHHr86mzMX69zsB5Vbam1ZRqBth6VtGhjHinv76s4u03I6UoMhe6UsWR5zabWeNZjluwmw8PNa1ipKRrFonQJ4O3GCU8uc4n1LGPjfudQT95+QH2suil1G+h7HhZD5PmYUHA2igl8+mrOfsC6H/S8mm/tnLq5WJUNVUtlvs1q7rKadesXfTIKeTlLGMWCRmrmScQmL1lmjaMdepYPi6qvEF6tKr5/KDHW42QUuD5p4bVaGe7+VmXTVwyG13vfVl2dc0NI0WhqbbgvGtaVZlNLJkmwc3gMgy+gr0h39FfbinutpCYKBTerikUpeb9xitO/fj7p+3ydc4oGz1kzfn42Ii9VfxAXjdoRqBtW6YfV4GkaUKwU62o3mByuodusanvYvT5g+fXLWW81mEbuPez0SRz4VTtAogUf98ehBJQ2geyeddEo1nqr6L8PmITC36lkds4zHbPln15O8XCCcfu4xCFhr6qR+J6HVIYP6wIROOG9F7PkaFVLatO2PwUQOvcO950hD0XNMq/5szG8mKe8nCeoVgBsCIoMA+U/3WRMEqdb858/P+F6UMEbBnovZwl3m4pxHDDMCbuku5IapU2fKHTaAxoHLgShz6ZWjEuXgB5zougS3Eo77R8fuMtrRoHTOLmYxo+urbuObr727Uu77ykjTRgJVG2xPrycxryc79KlK6m5uc/bc8Oxn16083+XNWzKhj9cbvrz5jQN+8RUatO/A1Wj8TwIPI8gDPqK/SgKeoHaRxWygeZO4Pu8eygoG8UsGQAgbeKyL5rq9iq1sz8OE51V6Sqbyjhx3a6n2AkkbhXFO6BIarfPPGRO5LhoDP/h1ZRN6bRhunf+Lmu4yWpyqfGNoYpDQv8xiLcqG+Ig4IuTKbXRnE2c5Sv1o1f10drqkplSau6yGoGHspY3Jymx8PE8j5ezZJswfiQp7zVWyobff9jgWQ9feLw9G+8kkljLpS6dra+2LCrJb17QJgoOJNNPiNkNE+n98+yYLsJTAfqw3egpkdxuDlycs6t7033ON7dZL8y3bhxbsdsX0zDg2TQ+ugcemkuVWbCWrNa8OXGWg0NXpkCI/szu2DNaWUTg8cuLyUFrRqkNf7rJMNriC4/5KDoYF+y/R04nwml5dfvM8N3crw4/pYEw3DfLRrMpa94vHLB/tYr4r1+dHdWRgV1R1Udgavvfbdb0jjCH2kSGf3O1qvjmNtvGEBN3/v721bR3COhi1EAIPixLaLUpOseuddnwzV1G4Hssyl0x0OfzhOct639dqn7P6c7Hdw+FaycuNV+cj4DdOOp20+ww1t6cuXv48nzSu6o4vR9nz3q5qmi0YZZGO4Wk4ToevhPW0u/Df73NeTVPOU1DvjibcPa5A0Ou1xVx6HO1rsEaAl+gjCErXewahw1Sh73V7PulE5fUuFbPTdVwOt4Fln94KJAtg/t8HDFNQ84n8cE9LBS7jAylA+bpVuj5dBxxtaqYT0LAEgQeD5sapQ1fXIw/uo+FYqvj0hVUhgDhcF3bls0odcf0rgiEf1TD69CQetcd5WIcktdbRmb3fUOdmo/tw/+ex88Aw08wxnHANIT7vEZi8fHIpURKQ+EZLIa8VNS15m5Tg/UIQ49XkwSpDGej1iLL93s64n1WI41hXRpu1zVgSOOQVS5Zlw4k+P5+w29ezPqq0lCgy/ctp+OQrNa8mMY0yjBJQiap8/xW2mki3KxdMqQ762xr2FQO9e36ojaFpG4U09iHkxGZlAjjKqCR8JnEgspETKKA23WFtvAfXs/Auv7xqpFO6E5bktDnJA25XFVcLgsCX/B8GqO06/8KhVPxtdYwTkKkMWgDSeQQxe/ucsaxQFn4/CKhrBXfr0tWpeRu3RBHrvJr8Xgx26XCL0tJJZ3Lhu8JNzenMdM45KFsmDQh85Gjcr2YJjybxr3yPuwyBbpD5D5r8D1QBj47Tfp/zxaKZSapteV8EvSWQatSsdiUfPNQ8GqWcjqOelR62CfpLPZqTkchaeAqpueT+FGw1QX6Qy/pnSCtZVV0wEoVOMFBay1pILhcVihruVwV+LQVxtYurUvWO32Gjgp+LJnrWiFuNg1xIIgCR8GbxgHn45g0dIrwvu/zYV3hBz6e5wL1JAy421R0tpTKGCapa6epGs1dVhEI4aiDcksT3U8Gi0axyBvGYcBDUTOeCJJAEAcC3/d4cSJ6CuKx6gvQV6TL9rtnScRpGlJLy8vThEXeILUmDT3qWvUJvTSmXeuGspEYz1IqTRwHPePiWPVmlm5Vtzs2yFM2XoBTfm4rpb99Oe1/p6vANNoyTwMi4fRJpHasnk6r5BjrYJiAau3aQrpK8Sjy+ett3gtE/vr55GBAuix2ra+GtM95W0UYxwFZvauqvH/gvponLgHXht992ODhc9dqa3xYlL27zSGRu0D4VNKxgGZp2LYe+TS15mEjqRrNf/thyX/98owkCvs+2Pus6YNtNxc+RltORzFVrfte/v31594fwWdnY8pG4kXbgHLIphjFomcUdYHHf3oz4683Ob4PStNX1Po1s/eMOlegVDs3kyQMqYzmPqtIk5BkJR6JcxWNYl1JlnnNbd6wqtze/Hq+K645S0P+p9czNi3I/asX034+vn8oUNpV4z3P49nUubl8e5fRaMc0CHxX5fQ8MGgq6QTNdiqO7TvgKMMJ16uGONwK0Q5pwceSNQ/HBlqWinEcME/g2TR219EBonuiqS/myU6r23ygBj/shT4bO62kVydpn7COooB3/RoVPcshFH7/DqzLhofGVZv/dJNxMg5ppCEJBHmtaaQDBidphNT2UbsVOC2GJPYJ5MeDzx4Ea6uPX5yPKKXeoeFfTGO+vJj0lfBjIrPDz+zW86pU3K5rKmn48mKMkmZn/XdzuVm7SuvLmQvIx5Gbv+5ZHmMwHGqp+Fhlbwf82Bv77Ub/+fOTg6K8w+D+UDuSVIY/32S95oCHoVQWz/P6BEppJ94Ljjk3CsNHlc/97yobyV3uYhzPumR26Mo0SayrlIfhlj0T++SN2rFm7O41FD5KW07GIWkgWLYA2bD9oxMjdYKfli/PnbvUEFQfzu0x8Gb4Lu7f5xCUPh0FvF9WZC2TxRP078+hz4LHwHL3bIetBKejAGUEdcsu7QD6Q8/XfebIFduUO8c7MPdkFA1YsD7jSLAJXfwtle7PqkoZFoVkEgVk0tHzQ+FznzUUte7joE5gu7v2TqsiCHyU3WV/deM0DVhYsEbzkDW9xs5jmrxFGQ9jLaPWhnu/paQr9vRsCzrnFk0SBRhrUVaThCFnk6h3tZjGoXOtyyqu1zWR8Hs76WniXNvScNue92aesCkV395tuLOW21nDq5Pt+ikaZ52plOJfLzeu3W0UHWWbAj0jo4unt1o/SVtMswR+yl9uM+43NQZQGJKV2AECDyXqodjVcSkatSNS2+1/oXBnqDKWVdnwkDe9Y9E8DajVp7VMdPth547SOdUds8j9Rx8/Aww/wYgCnzT0WBk4nSQYbVk3kjhwQUgaeSyrBt8XNFpzkYZUjUcsBHmlCYXHl2eOsrguG7JGY/EIgKqWVMpQKclUWu43NR8WhigUhK1d1tszR7HtBLrePeRgoZSWSjlkMg0DHvKGcRhymnrEYcDzacy6bLjKGtaF5C5vKGUInk9aSpSxLLLaMSkC8K3HZBQyiUJqpRlFXQ+mxyjwyeqGWkOtNX++XvNs4gRNNrVmUzsVXmM87nNXEX49H/Xq/0HLg79qq4W/u9wwiZ0V2bNnMZcPBf9y6fp0X8wTZknApmy4WtdUUjOOAn75ckxRK6Q0ZLXiw8LpRNDuuV3VXWrDzapCGkedejlPeP9QkAQ1nnVV8o5C1ivv6y2lrWwk7x4UFrhd127zHgi2Ke2qpUnkc3tfEvowS0LKRrPISv7375b88FDylyTn7VnKf3ozZ5ZGLZLutaJ1krui4aZobYXGh8GFLgmtpOEk3YpLDemYldR8e5+zyRWBD5Vyfc0As1HIm9OU7+4L8CybSpNVkruN843u0Pcu2T5GY5TaCfR8+WyCshuUNjTKoowDLM4nMeft781HEe8XZS/Sp7Xlh7WrhJbKcJaGXK1LfrgrqA2cpAKPSWv3ancU68Hrgye31hSV0tSNIa8NQkguxj7TWNC1GwXBLr1zPwDs5xC4LCsWueSHh4JSOk2FUjpVdQ+P92uFWFcoLG9PU5TxeDmLuM8akkjwT8+nffsIbIOmoRAYuCC+azPoVbsHB1UHnhwKyl7NHWOpqx7vC3t2ehJC+L0wqdTmaMWtQ/1/uM+420gapRnFIWkY8GFZoo3mw6rm1y+mVLXuq/JDkMsFGpVri2mFmd6epf3nd9/1KQKToXDe2c/nKc/zipNRyIdFibH07jbHguHPz0aPmDbn44ggEMxGIdPUVcyVtr1tbBqF2DaIA+fmgzX4wmNTS0K/pdUae7RP/3wScb0yiHZ+52nQUmDdvhAH3Xs+7LM1zNOArNGkEXxYliht0S2jaMge+O42418/rIiEAx9fzVNUR0dNBBjD7aYkjfwezJHa9InXd4uCWRzyYhJzMgqZpcEj8LCj4fbvPp2KfE4sBFfrkjQSbEr3/JPQ52xiCIVjgGEtJ2nYUq8FX11Mtkm/NjvB8CWtE4Xn2l4OAZn772mXVBSNIgh8SqVQxlVhg0HSVCvDoqiZxFFbieZgAlU2zvEp8P1ejLX72c2qaoVjfW4L07/DQ3u//RarSlqqRhFOIu4LycZTLArpWij87rE/fgNGUfBIJK5TJQ/8w5XjoTaIY9N1waxrpevWzrqUrchsSNk4YLRsHP36bFDBHjKPsI4JVNWKd/d5qzUh+nesB4pafZll3hCELQOrDeg9z8P3PT4/oEY/BCmGgM+xyl63DorGnfFx6PctMqMoeNRu9N1dzm9fbxmHQ6ZHt772+9q73+00BzZFQ2MMpbR8f59zn9fcZjWR7/caUbdZw03W8Ga+e7bsFibgv/+wJm8ko9jR9mtpdto5PQudzWXHnsE4HaLhHj+8h3ka4FmPH+4KtLWs55KvWkCpEyO9XJYUUiGlZZU3O4yCT2lL6e6naxkcOpF07i+hECipwQt5MYnwLAhBv2ceeo77z3pVNlyvXRKoDG38GoJxNpSLvGFTKv6lWvNsmvR74/7e7wF54+LYOAp6oBvodReUttxlThPjh0XJSdsq+ttX0z7Zv9s4UNiyPbucAPtjV6nunrZaFZqzNOzZXzvxhe+37230SGNnuBc8myVUjULZuO/hd9+1G48moUAayyjyecjd2lgUitNRwPk0ZhKHO9oh3TnfOZu8mMekUcAid+xTpeDDQ4a+GDNNGl7OE6ajmC/PtQPTYkGjDe8Wxc69Ka25WjdsaoWyTuuoOz+Oje37oknD3VaTQAgulyWl1tyuSsZJSBQILC0YkDU9w+gQ28+tBY9COsDItnvlISCwlO5aa7UVBb5eVyxrd9Z/TPjxEDjXtc4Od/ohqDoEiBr1j2NRCT8DDD/JaJQhbywb5Shevm+dorIHd5uSpglIIh9rXfIWeBD4AuF5TFLhkvNGcSHgbt2wLBvu1g3vVjllpRknEWWtMbamUYqssbxMQ8pKcruqOB1FvY2jUg6cWNUN7+8rns0itLF8dREySYI+QQKHqmoLb05TvrgYu95JqQl9j03VMEkCbrOG26xiPnIJcOx7FNL0G/w0CcgqxTgRvL+vmKch55OQWho2laJUCmMsvrWUtSYMcNZBxgmhyDYOXBSKaSJYZJKiabheFphxTHyacLOueLeuuM0rplHAqqh5MYlIowBlSrS1rArJ67OEr87HCN/1N//xesPlumQSu7aCsA1ClLbEkeDZoHr465cznrfBlmtX2AZQ3YH+3W2ObePTt6epq7pnFd+sNfFtjtaOThv4Hrebhloq0jRgnGy9wL9fOP/1SRIijSSvFJFwtmabqiEJBFmtGLU9jqVy/bONftwPNgzMbjc5gb+lDL6aJ6zKhk3tXDI6IOL3H9acjCPenowIA88hua3Gg+fBN3cZUjmRyVfzlFppbja16yMOvF4srxMy7OjE4BKxwPf48mLS09C8tnLcXW9XHf32vmCxccJ+X547vYskDBzV3xgmkeCz8zF5o7jdVHxzl7dgUNwKvgnGUUDROH/nrnKXBH5rMyr5bJSSN07g72SSkIYeF5PkEbX0kDhWV7FUWjNNBH++3uD5TpvvxRSsF/DyJMEXltNJwDqXeKcpUmmu1xWNMpy3NoxSG95f50htaZTdEQ7trsH1vao+4R/av20qyV1WEQc+QRDw2WnKJHZzqo1FCJi2VPJuze4nO4HwKeXW0/wYDbb7+TwNeOd5vD1NyRvJNHbtSUq3om2l5OurNc9mTgF/yLSAtoKzqUkCQRr5fevTp4xj9OZZGjKJYzJTY3CVxE1t+O2rXark/t8Pq1tSG1fFGgnusxrP2r4PF2BTGzalY/XUUjvdDeDlScrLk3THeUcbZ51VKUPeNMyTuO/TV7pLVjorOv8R2+RtS70cVtodY6xpqfUhaeSzLiTvHoq+WnO1Kvn99Qap3dnzZewsD8tG4wPXi4rvFyWv5zGXq4rfvnIst0g4EaskcoFv4HvUC80k6Ww59SO3maJR/PFq01PtR6HPspB4ngNYPztN+dYWRKEL6Fdl00Ljbj+wHkzSoNcaOPS+deDkrHU1UNpSNtIF0tYi9WMG2bDyVCmL1RYDzpVJeHTxrNQGpZxuQqk0Z0R9kN3tW50Q3OWqQhl3tk3TAN9zAMJD7nRlKm2Zp1Aq27cWDq3cuta17lpv1yV5rfnuviAKfP7j6ynvHkomccCzScTpyDG39t+LUPg7InFSG373ftnvu4ecWrr3fZqG/R7X3f+hCjNA1Wj+x4clPzwU+Nbji2cj/usX5w7s74HkivusplSGX72YksaCL87HO3vN0EXi1UlK59ixKtUOPVsZByrtV5v3g/IdV6vBntD9btdS8LsPazzPEocBk66PvtUQ6NqNkjggDrdU8n2mxzCReXs2YugcEIqt5gCeRxJ4rEc+aSR4KRKEJwgElFKR1ZpxFJLXkjTaft/wjF6XDVfLmtCDKAxQSlPUiq+eu/f61Kff37vn3tnsAjtgQNkobrKaN/OkTXwjfvV8QlErZqOATalbho8DyqZJyF/khkUueTFLdxgFRaPYlHULrG7n4xAQ9P1DweWioGg0cejzmxez7XPyPMpasqgkduNAhf/y5WmvrzNc50Wj+PY2axl/gq9auvv3DwXf3mU85A2fn42YxIL7TBIJ2ccKQng8myVcrkqetwWjQywGIXwuJjHKWNJQ9KyOURRwMXHsB9+D602FsgHTWPBikrRC4JZQuHhKeJ6zJBXbFHEoDNmxAV3V28VTnueRBG5dvzkbHVzzh0Ct/dGB5FIbvhr8m9SuxQLjnOtezmMC4fP9/ca51jWWN6cp09hnHIW8fHPYhaZz8ghbwAQLgRDEYUAsLGUd8vY07W1852nA3dpjFAuuVw3P5zGLYguyjCLH1HwomjYP0NgofAQu7Y+uWLbI5Y5ThNtXBLVSGG1R2vFs48AVFm7WNfd5jTaWRmrKZvSohWRYhPOsZVMpskrzfBY/igP7YgGQNQ4cSkLRtw+vSsdsFD3IY1qmyOE2ov5sO2CRO9wX3j0Ubu1YeHP6j+Mk8TPA8BMMqQ3T2OeXJ2NWRcPVGtdzbDw+NAVBpFmWGmtcNUH4btO/XVdkSrIZxdzkDb97v+IkjQh8D8+HOBCsdIPfNEgNr8cJZ2PLw8a1NQjPsQFKqblaVZxPIkosk1iQNx6lkrxfKDZVSCJAWY91IZEWJrHP+SRue3gtoefjWcufrzYsc43UihcnsVPJbgzRxFHrJ0lIHFrORmFLhQvJS800CqmazNFRK8UoEowiwR8/bFhXirgNQE9GIcbUJJETrTpJQ5SGvJKcjQLyRvKHqw1Zo8FrSJKA0PdppCUvNQ/rmuezFPvccrupWJcS4QsuZhFfXUx4MUt4tyj5662j6xaNASPRkxilHdLb2eAAfaJcNM4m9CF3dOqh96/UhneLknUp8YXPKPappOZuXVLWilRYXkwjrjYVBksahHhGUTSWZ7OIqrEUgeJsnPB6GvGwCSmaEmt9gtDjh0WBE5O2xKHgelMR+QJjDbJ13vB6M6ft6AKzTSXbxM8BFaPIbU5/udmQ1S5JXheSWRJicL2Fl+uKs3HENA4Jhdf2t2ukNDw/iShr507gGBmKb9aSJPCx1iV6r04E395m3GQ1m1JxOol4PnEIuKdpkwSnFH25qnasMJ2zgsd05JwwykYT+j6lUVTSIfB5Y7hb1/z1dsNkFDrKb+KzKhTg2iXcu6f7vsGHvCIIAr44H/eo9qmOqKTCWoM2YmutxFYxeV02TlOkDVScUGVFJTXLssHznRjSy9OExUbieS4pEZ5lWVlWhaOli2sPo0FZg/A9rpKSRlnKWvGnm6z1OPZ4MY8JfX+H5lgqZ0Ha2fVJHfQg0dc3G5a5pNSGNycxnrV8fj7uxZ+UcYFUF+gNDzmpDe8fCn54KPCst2ux2Qb1pdQ76udSt04PwlVyA1/wvO3bzmpJIS3/4fWcMPB4Pk12nGy6eR1WcMLkcRK1v38OD97//m7Vuyz889v5TjLzq+djNmXMq5OUJAzJqmbHxrNoFP/bN/dUSpEEAf+Pr84HDCTTH/j/8fUpz9qe3LOBCvc09nvg4DarmacxVes80tFg+6q+0vzu3RpDW807d8Flx8jqAkB8j5M06pNKpfWOvWrRBi7X65J1LbnfKIRvqaVjYF1MXdB7tSpZV5KskmxKzSR2yYHzNXfgtvHg5WmCtIY3pyPuN01vEWhxQOWydhovceAjW6p7tx4esoqrjbP4XbRr83ZT85sXM66WBb4NOJ/ErkImXKA9iyNC4aw+HSDp5sazHrVSji3Ui2dxmAU17B3G8qfrbT/5y7Z94xDoUDa6ddVJ+4recF39sChbZkjUA11DIM1V8J2WgzJO3ygNnCPMulYsLjdYz5JGPotlxaZqKKULbG3begaWzg2gW6snaUg2du0VWaX6d7vrdR9ew7HEoluTPVgXB6SheSRuF4qtDkoSOpHU7ufd73Sspq4NaxwFrArJ/cq5S6Shz9fXGy7GCSfjCK1dq+Rd1lAp7VhO04TXp4eTpeE9DIU4O3p2pSRaez0Laxq3ItLGMt9Tou/YVV1VUmvDQ970rUXjWPT6NuM4ZF1IQs/bqVD/5uWEy2XZCxcC/V4/S0IWNI9ES/fdqcbx1tr6Yuq5vuzCcCId6G+FAeM0oIRwOjjCd9VjqQaVyQHYO44FcRxwdZdjPcumUfz1Nm9/z+8FJod7+RBwWZeyXa9wvSop6oZx5NwB0sitiyQIyCrHAgg8j6tNw8XYKdQHvse6angRJaSR6M+H319uEL7H81nSO9sc2purRpHXTotgXdWcT5xoXgfarUt3FgdB1z50WNn/m7ucP19tyKVp4xXLy1nKMq8oakUjDT/c53z1fNJX1qU2PcPT4piMH1ZVf64Nv8NVzJ19btkoRrFoQYPt7zxkDbVRvH9w+1ZWGiZxQy6d3pKyDlT6xfMpi7zmAx6rwu1B40iQRQGTRHC5KPn2XpFVhucz52A2SyNK6WLxVal2nmE3H0Oxxu5nx8YQZOqexbOJ00Za5hV57XS/tIFZHGGNZFlWFLVzragz08dgXWuUK35sLWA75tDFNCZdCdfiaUFqi4fu2x8aZdvnrZinAYG3G5vGoXD7bSw4H8X88rljrg0T8UP3F/oen5+P2VRyh1G3qR1TNfIF01QwH0WcjZyw+PWqYFk0XC5KPJz2SLeuh4n8LI3IFjm1dNpvStuds6D7vVAIAs/j1dkIpS2zNGCRNVxlmtO1Y3a8nCdsIgdC32VONP4hlzvsiZ17PMCWO1QESiNn8yv1Pw6L4WeA4ScYHWVKe2Dx8T2PopZ8WJRIZbBJQF1UbGrDKA4pWm/aUHgsNw1KOluw66xiFgs83+c0jRC+x/WmxvfanttYMApc79AkEjTKsKk0f7lZEwUBb08SbnPZV52lMvywrHh9kmAMfHUx4nQUk0vJImuIhM8fLteU0jg2RRIgjUeaeDS5YZFpfvM6pWoM91lFXgdgXZA6H4WsS0kifGpleLcs2NSKf3o9Y5lJotAHfMIApknALA14f1dwpy3KWn5xMUIA39+XrGp3PY3SJIHHOA5JQ0FeuLaDVSW5zSqezRKU0Xx+NnYBnudEeoTnAAxrLXdZQxr6zNq+qftNzbVSKOsCgJezEc+ncS+UlEaCy1VFVrmE4iSJWgFM2VfxykY7pXYLymgaCfdZxf/4sCYrFddLy5tlifB8lmWNlBWVUjybJkSFCz7uc+Ns64D/9dfn3G0aTkaOkn29bogCj6+vMwLh87BpWlTbbTpvz0acpI9f1S6wvM8sRSP5b+9KqkaTBK7ycrdxXurrqsFvab/TxInvaWPwsNxmNZNYIE1bLcFys6pdH7XwmCUBd3nDD/cl01gwigXrSvLNXUYoXDIWBV6L8EreLQrySvUWcF9dTFjmzi719UnKQ+bEG0utaaTFGsOzeYSHz1cX477n3KsVo1QQRT7C87jJKpZFzbNZwvXG8nqesMzgj9cZ55OEQFi0CUh8RzV/0XnL42xOb7MGX+i+Lx3oqzG3m5qbUcXb0xFzwq0wIBBID2s8fB+yQuILSy0tUisM7kBfFDXjKMAYy+koopKGOIJl7lo3FkXDh2XJs3GIsm7OPz/rKoxbJem6sa3eSmuXdeaApcj3GScBy4cSYxz75z6r+bAoWyq2q3hP4/CRNsZd5hgmt1nDq2nM5bLsezDnLYX5h0XN7arqxaaKxlXTlTasGk0cCRZZ41SRraWRlrOZIAhcteKQONchtfF9Sizg9qhWFCoUDpTEWCZJwP2mZl3KPuDufs/DVXwulwV3WcNf73OeTRNez1M84K83OZNY8KGu+exsxPkk7unEXY+31IogEG1iUbMsJfM04K93BUa7qpDTXnHmlVI7wO16VWFxYN5tYZlNLZNRzOk45BcXkx2a+bOJc2eQWtNozbtl6YIH4fPls21F8If7jG/vXJV7WdaEfsA0CYlDpywe+pbbjaRWJVmlOR+HTBNH3z2fpHx+PiGvXZtCWSp05Ld0WdfWYXG97aqxnI9DROXx21eCUhmSIGirbo7y/3Ve4/tOqf52U3E6donoN/cZeaU5GVmySrtq9DTCa8FYqQ0nUye4+u3Nhqp2YqrGOHC2a49wL/duwNUBYl2Vumw001gQCEFeO1YZETugw/kk7tfpDEZ8KgAARf5JREFUolAEU3+ryF9vbQefAro6l4sP65L7tQTPsiiaXpB3nkQgLHmjmCQBn12MCXyfbxburFHGULV6BFGwraS6965mWTT4wuPNPOW8Zc7tV3K7vxkGujuU3UajlMLzLPdrJ5QcCAciDFtMykYjhNdregy1Cbrv69uYAgeyCs+SxD7lnUYrF0wnkY9SmrxWWM+xPrSGaRSSS0Ua7fbHd+cQ8Jjy63lgXaxQS8e0+tPVhou2NbNoHF15XUricBdQuV1VBKEgDV3yEvg+q6Km0pKsCjifhHjC6R7MxwFvTlsL1VaUN/BdHDFvdVfePRT8sMhZV+5cfj6Je5APtg4+Qy0XqbaggzSWSmqshUkcMk3aJKoFrN89FJRSuTkMnc7PMq8ZRbviwe8eCjqXsHkaEPgeWSW5mMYEbZ62KptehDCNwp7pNhSb9XwHOI6iKdpsWQfPZglKG8LAiTZX0iCsJa81n52O+PXzGcui4U0LZKzKhttNQxoKGuUYiMOEd7g3n0+iVjhcMopCLhKnit/ZJK7KhptVyfcPBZM0bBN/71G/e9EollnJpk04p0lMWSv+cr3mOqu53lQ8n6aMY8HrkxSpcesKj3XpCkSVsryYxnz/UDBPQ27WlWNDDACVTd0l7F5fPOqSRgAfiHwH5KdBgBgrrlY1Sezx7b1ECPAtvDmzfWGkqzhnpXM6uttUNNq1J2d1RXbr9Kd+9XzMpjH84mJ8UDNhyMDaf3eeT7dMKKkNf73NuFpV/V7S6+p4HpcLdwamsc+z1p59USqiyGeehIxjwSyJeOi1uJyYesfAGjIGhiCIs7WPCEWF1IabVhNukTmGjtJOe2efhSW1IQ0Fv34xZVPJ3hL8clVxeUS7a8iAGWqxSSXbhB+ejSMWvmKUCF5ME96cpk7zK2tYbiQnaUiaCEqp0HrbOgeOSfdhkfH1bY7ne7xblfzq2fjRNXSivrRsDefQ535Wa8vZJGRdtI5hlr5luGwMl4uCrGqYJFHfBtZ97rAd9tC/u/PCiYqPo38snYafAYafYESBz0XqM34x4d2y5GaTk5Uaz/MQAdwsS7QyFBKKxokCam25L2t8A+tGMYsDisbZgxmjSISPMeDjKh+1bvCtZVNLBD7Lxll/5bVjG8SRIC8Vl6sS3/fa38PZqkU+WeNQd1+AUpay0VjP4/2qJPKFC6KKgGXdEHqAD0IImsYwG4Xcrksa5ZL9V9OY2WmKNpardUUhFaZ0VNtlLp0tH456Bh611GxQTMcRL2Yx60oijeWbu5JJIshKhe9ZPixKTiYhUmlWhTtINlXDbDxmHAsSIbjaaN4vSrSxnE9CrlY1J6OAWhp+WOQ0yjCPIxplySvJh4eCUiuKWjMfu0OvbDRn4xCL5T6ruVyVBHjcr2saaRC+m/eqUXxYN4QBXC1qRzG3vms1CT3WuQso3iknEKWsYlkqXkxiUlwvtsBjmobEoc/lumRTaUIMJ9OEJPRRWlBrTS09GgV4mlxKUB6fnY65y2q+vc9J1oJICKZtwDTsoy+l4nZTU2vXm+37HqHvM00jLC6IOxuFlFKRhgHC9xjHAfcbiTROAOwmqylq11PpgrKQyLd8fZPzl9sNjbR4WCaJYJKErEvNNHXK4KfjiPkoQlsPg2Wahvi1Jq81f75Zsyk11rMsypqscmBNEARcrnPGQeCqHUh8LGeTlNNRyN26bte34S7L8fE4ba2bFrnkZlUxjUO+uckoGyfEeZIaQt9ZWGVlw7pyFlKZlKSBa0naVA1FE7XMjBZI8JwDCRjOJlEvDJjVkuVGEYfwfJ4S+JazUcx9LgFLUUuSwIm8vjlN6aqgjTYERpDGAmPhIa8Q1jJOHHB2Nor6FpL3DyVe26P65iRBGjgdh9Aq6aeRwBMeVhnSyMdaj0UmWeUNV+uKaRyxKmvS0IlZLosGD8vLedqj8pM0QpCzKGuM8fnuLiOJXCCc1S759azPqmj4/bsloyTi2Szm2SRGGTgdhfz5es1D0TBLYoRwtoVJRK/C3Y0uQdrv4e1UtS22r9RJbXjInEr3+ThmIRVfXKQoa/nmNqPSlvQ+73shP6xKJlHAsmiYJwGNNoxiV4XvAC5jQFpDo93z/eEh53ZTU0rNLy4mKG2Ypc5iVWnN9/dlT9/2STgZhUzjiEVZMQoDPM9jlggeMtfC9M1tzsvTlEoawDJOQ8raVTO6fvluHrSxKCPx8LhclFytCvLa7ZPf3mW8PR2TVQ2NdImRUU4AMNcN1hrOpwmjyCn/n45DylpQNRUPZU0cCl7NY05GsQN5KkUhNdNRSBr6/PbVjEiInWewLJzGh8AxltbKEPia203DxcS1FoxjV0W5W1doY0lEyLOZq6hM5oLAF2hrmaUxk8jta52QXyh8FpuKd8uKddWglGPaTGLRi6NJbXaceIA22HU2gXHgk1WKdw8luVT4ns/FJOdsnDBNBCdpwqZuqJptZUppQyxcz/+HTjtAOo0gbWxPVT6b7DJQ3i/K9rlqrGfce4fHs0nEQyFZlTUiEDyfxLxpg8bLVcV9ZXlZaWaJYDoLySqF8OH3lxtORwFZ7Vohh5T5ziXmLmenSt3RcivlKnhJKNhUrkggPLgrFFgn9Ox5HiejkFEY9O+T8D0u1xWTSJD3fc5eb8nciVW6NbllO91ljolxNo74nz6b09lvvlsUNMoSCSfE6gHLokJKSCOf7+9zNuWWBdg5zETCY13KngkGW9G+KPC5XFQkkcd3dwXC81jlDX7LaLtalGjgzVmKMqCUW8tl3jBNA17OEpZ1TaUMb6Zpn9z/Ew4wDHwn6NwF5qvCCZculiVKaypluc8qrPGIhHBtdGmA0tvEb8fB54hYsvBhEvkoZfAI+sTaVdZ9EgQeHnWj+dfbFcZ6ZLXif3oz76+tlBpfCE5GIYvCvfuVcu0GSRgyH4X8tx+W3K0qRCD47DRuE1vRXkvINBKsW5ewm2XJfBz11flXLbAeCI+rdU1ZSyajiDR0yb7STuuhW38uDnTJ+7KomI2CXuC2q1gnoc9t1VBKRRz4xKFrNZ0mQV8tvssq/t9f33GzqljViv/58xPOxxGlNH2/e5fwfXeb8YerjPuNwnqGi2nM5bqmkorAFwS+xywVPJumO/oxUpv22QpuNzkeToBxnAi0cWB1pkwvlnk6cq41gfCcI0ALUq3qGs/6nE0ikAbf8/AETMMYqGk0vHvIOBnFyFZs/DQNwaPXSEsCj1cnKV/fbDAWfrh3ApJn46h3CFlsGv7QaL68GDMn7C025UCva8hKcSwNvcNkKBrF1bJ0mjae5UFURMKt33HkikC+77niBDUvZwkXkxBt4PksoWgtnzvh6e/vXVtH55Tx6iRlWTQ96DIEOuYtWNZZkjs3IKe1MkkjXrYtBvsV+0pqhDEH9cu6+xu2y3UOP8PP64oiQ5eNL9rvGIovj+MAP4DaGM6jmOdTp1MytPZU2nCzrliVit88H3O1rJHatq2oWxHRzka0Y/BIbZx1rbHUGn5YFIS+YFM61lAah86hYlNwkzuHutt11TMZDrXersqmB0A3lSQSPknL9g6F/w/VHgE/Aww/2UgCjxezEX+6y/iwqllWDboVCvE8g1JQWqDrDV1JkgieTyNqpVhrhcHnaqkYRT7L0FFba2XQSAJgXSvWlWIaBWS1ZJqGjqaqDTI3lJWiMk4w6L7dNBqleL8omI1Cysbwi4sJ2moqbfj6csN9VqGUYyX86sWEz07GLPKaSmmKqmFR1gh8vrnP8TyPu3XNb15OqbUl8Dz+eLN26vlK8R9ez7nf1DRSschq8loT+s5n/GajeDFP+eOls3pLfJ8gAm0ty8K9xKfjmLzWfHExYplJVpXkcukqupM4JI0FemnRSpHXiij0yKuaTVWxKCR/uloRB4Jn84SicPoP94Wk0obrdcPb04QvL8akkUcpFf/yruQ2b9hUkotJiMUloIEQrMuGf/ngkjjh+0S+xy9eTHgxi7HWo9aaVVk7mpmBceIcEt4vJXceJKFPLHzSOODz8xHf3eX87vs1nu/xV2P4f/3qgkAIXswSFkXDsqjBM2SVo/NmlaOvzZOA03HIv35Y8e4+R1mPX78Y8atnU4fMrh1r4T6rqaVmWUkuJgmFlBTS2YvOU9eHWEjFJA5ZFg1nk5hn85Af7gu+vt4gLdS1Zj4KCYTPclFym1VIa/iwrDhNA/JGEQUJq1JSS0MceaSh4HQc8maeOlHLrHJ6AaHPF2cjZOsTXyntAklt+bB0VHDP96gTQ63c4dNIy33uqjmzJMBY45TQ4wDrWZZ5Q9YUWG2ppeKhcFWJQmnu1gG3m4rPzsf4nsfZ2CHrStV8f5c70T5p+Y+vp6RhwIt5gtaG66zkj+83bGTDd7cheW34f/7qgnk64bv7HDxL2ViiAJIg5CQN+d++eUAbw82mZmy6pFowjQSTNHRClMJnUzb8pco5HyXw3OPL8wlp7ERAr1YlV6sagyH1Q6axz+2q5C6XLIqaz8/GQCtg5zl2wmkSEbd2b8vcMX5kpKm1Yyz97v2KRmsmccj//e2cX72cOSeI2gXzwvN5NotYlgpRK05GCaHvwMa8qgiDgA/rGrUs+OOlzz+9mnA6TthUksoYhO9TS01gcYrwvguWgD752hct6ir///puwU3WIHyfk3HI/argct1QNZrLdcV//eqEJAhaG7EZv3u3YLko+MOV5Ju7nF89H3O7qlhGPl9fbZjEActCMY58hPDwPGikZZ4KtDZUKLDw/UPJPIm43ZQ00ll8dcHVREQYW1Ap2bJSNL7ngMXQF0zjACFcO9RDWVM1kq9vMwqpW29r+OJ85ALO0CXwV+uK0Pew1vJuVXGSOKGy+7ymbJxVrO97XK1dn+cib/j2vuA+q9DW8mo+4s15wt2q5vuHnLtNyPW64YuzlE2jWZSttksoqKQhqxruM1fp3ZSSdenYXNM4BFQvPvlsHLFpFKvC0VpzZfABbaGuJe8Wea+TMIkDgtMRpyOndh+0WhLTOGBTSrSGolJYPGZpurVh3JT86bogrxWe8TgbOY2Uy1WF1wppFo3uW6W6yu839xnf3GZY65hQnudR1gZlNC9mCV/fZPzymQMWtXEU3CTyecgaFnnF9UZyNpK8Xznq8jQJ+dPVmmkaAB5no4jAh3/5sOkrm2nocZs3hJ6H1bZlfEBROPE9gNNRRBy5fuSO+nqShu59TAUPuWRqDGXjWgeVrFkUlryULAvJ+FmA8H02laKoFdpYNqVkldf806tZW6VzDhfLrAEf3p6O+MPlGqk1pYJJ5DFOAhaF5GIS82FZ8XJek0QCsFTScrkoeD5LaIzBb1t0rtYlAIGARV6xKp3dZdUowLIpFbMkYJoG/OKZ4IeHAuHBN7cl1rMI36doNK/nMY2MeDDOTvU+a8hqxav5yAEW2jFUlDaUjeE6rfjsdCvkWDSKv95mrAtJLg2+teDV5KWzux4nAZ7nc9omOKoFW9JYMBtFTGOfs0nM6STa6XEHiCPBSRjw/X1OIOre/WjYNlhJwzJ3vd2TxLHTPGzvgtP1rzv73q39Y7d3VVL3rLo0CkkFnE5j3p66JKQTybRYzsYJZaPQwieNAgcilDV/vNxwPnVn+tWqxGhDUSrORyG/fD7joah5PXfaApvSrYX7wrGl3i1iVqV2mk9R4JwnfN+Ju05TRqHf0t4di21dOvcSZeF8HPY9/uD14n9Yy+8v1yShTxIIAt/nZASen/LVxXiHxdAxuLQxbEpJoyy+787fJPK5Wpa8W1UYrbhcVkTCQynLD/dOGFHrkr/ebvj8LO0tHr9dlkxT15qmtWUaB9RGc7vRSO2Etu83NRcTZ0E8pJ53lsuuJdSiteZ2XfdOaYV0gq+bWjIdODcFwievJZtS4gkwVhPXHq/mI57PYh4y5wr17sGxKu7yhkkccruu+exkxLrSCM/12wc+LArNNLHEwmlB1dpQyoZJGvCwachqTRQJV9BrwZFv7/O2nVD02hpDVspJWwD71YVq9VbcOyR8H2XcnnKfVWwapyHwi4uRY/duSkIhMIVLuD8/HfNhWbIqXSzbtT6sS0mjt9pQdaO5rVx8/ZC1LlgDFg8AbetsV9WftiywjgU5HF2b0b4ek2OKlRhcnHQxiXudpE1Zk1WKrFLkZcMvX0z7zzodBSwKx3K9WVW8aYXwu5/ntSJrFNM0wvchDQRvTp1O0g8POePYse/yRnG1rPiwKNhUDW/nI57N4t7lrtMf6Vp6hi5Gq6JhWUrGgRNbPkl87nLFOHb2sk7g1eIwOveuOE0TRdk6qJSN4i6ruG3b6srGcjoK+P/+5Y5aaWoN//x2zlcXE748fzrP/Pc2fgYYfqIR+M7T/cNdxbqSaG2ptGHiO4u8e7OroloDdQOsGtIIjO+DluQVMAn4/q4gCjzS2CfbaIJAUCmFtU589nZTkzXStTbEEeNIUFSKkyRGGou2mttlw7psaIzvhB89xWdnMcZ6+FjGacCFScBYHkqJ1U7XoNQKozwMPmVtwNNO1CfwMTjxs7t1zUNRcZ9Loki4PrBvHNqYCJd0rmqFbJwtYSEV8zjk+4cMbS3Cc4nGs2nCupDUUqOU5WTskNl3q4qsdOq2m8qJIha1plGWWimkMhS15sUsZplLqsDi+XC5cf61GuusApUl8GCUBMSB7/pNhY8B/nqfs9i45H6dx0yTgMoY6kY7Ya9NTSMdRXwcBRSlZhNpAs9VFN6ejUnigGx5z7KQNNryq2dTp64rFVebkrB0FC/PgyBwweL7+5KscgcgScA0Cchrzeko4nrTEAYeb85SpomzB/wfPyz403WOL0BKzX1ecbtumI9D3j9U3G9KCmn4zfMJ94Vr65gmIWeTkJfTlMZqilIzDgVZJfF9Z7NlDESBIA4FslRstKJp0eRxIMgLSa4116ucD0uPcejEQyM/wPcgqyVfPptwuawQ/pqk1ReZpSEvZzGfX4z53fsVf/qw4d2iYN1IRoE7jCeRq/rXUjvLzDgAH07GAcu8Jg3cnF9ME5RxjhDxzD23wPPIpUIpC75b6w+VwRMejdnw2emY+7xmHIcU0nA2ikgTwdc3OUrD1zcbFoUTIJTKMRyMgetNyew+4Hwc8YvnU5LA5zSNSXzNKHbMjUXREHg+1neMjEUJ5jZnEod8pwxx6FEpw8tZwjQOeT6N+eJihJSK2SihkI5NU0jjwIUwQEnNvZRcrmoi4cQHX88TR+t9yPn+vuT5PEEIiBuNsRaJJa8lee2qvMHE0YWltqyKht992PD6bMQ8Dfj6ek0QuAT0bBwiresdvt9UXEwj3s5TrjyfSnd7lEuKbjY1X1xMqBpFLHzerwvSSHA+jVmXiqzM0MB8FOLh9cFJJ1okWv2Nh6Lm//jrAutZjDX89tUJ1oObZcWr0xRr4GbV8B9edRVBxV9uCr5bbIj/f+29eaxmaX7f9Xmes77rXapurd09PUuPx5OA8XgwBuzECuBNEBMIZCKkGBLJCiSCCCFky1JkRYogIBAgEFYgFnEUEidAxAglcpwQh/yRsWc8Hs/eXVXd1VV1b93tve929vMs/PE7t/p2pW519VRluqv7fKSj+97nPev7LOec3/P7fX+hPKi/bIdktWX3YMW6Ml2aUcUkjYkC0fqoWsuFSczOKEEFiltHGTTITGknUjgZnM4giXtjHGhWpWhtLMqGnVHERy5tMIiDB/mrD1cldWuYZYajVcmqENfPKSL+WDbiVbWuJBWxQbK0HC1LVmXwINPCJI04yRo204hQawKtudo9vF6aJszyGpzjZN3QWE9eGa5OU+4ci+dHHIp3jrxA1szy5sEL5WQQssgbERNGc5hVHK9rZrkhxLPXCUgVrWWRBFyYJlhgvqhZlA1JHBBWlo9fGklYTujYq8QYMk4ktAfvWHexzSjFRhJ2rrSOL90+4Y2jNcfrhiDQrIqaug1pnCevY24d5HxsKSLAn7g8AS/eY7dnGcermkUuwsPrqqF1MI1D5lVDHGrSTnR3mobEShPjef1wTWssrx0V4D3f3jdcGsdoFXBlI6Z1np3xgONVRWs9Zes4WZasSt15sURkhSEIZSzXGmrn2RxKZo11bYjDgEuTwYOQg6IxvHG45n5h+a1bc4q25fte3MBaOFpJPP0AzcYoIQw1dWM5zhtOypqisVjjWFWSdWJ/XfHPv7xNXhtWdctoEFEZy+5JRt5aJl2WJJ1EnZK+pEPUwDDSjNOAG/sli6rh9nGOs56sMVwapzTdzNs8a6isZxRrWu9pV56sbrlxaDhYVERa8+LFIb/nhemDfh+FiiQSbzmlPVtdJqhFYVg3NVlpKBqFJ2dZWBa5GB6GcUigJXa97Vz2RbStZlEYXr4wkpdrPMuyJUlDnCS4AuWYZS2Q4bUixoMOSUPVublXGK+4vileCgfLSvpiVjNJwwfinaf6QxuDkCig04uxjNIIg2cUBQySlO1hzL1lwSgJWWcNyyIgDBqiMHjwQnpqFDvMajY7z6QL45hxrLgylRek3XnBcSbinwOt+ciOeD9MBiKIuzpuOcwqXtz2OO9ZVqKzkjeSYjaJY1wX9+07Y1EUyDgVhzJznATy3Hd/JWFGoyQUfYl5iQJmq5bSNHzxjRMmA3nG2RzEtMajvOeFTiDwYFlxuGq4t5Dwk7yxTAYh//IndpgkAbWBYQx3ZyVXN9/yBhlGmtbLjP1rBxmLsqFuPZ+4NKI0Yix84yAj7bIteGCSxmyOQmrjuDOT7EsnWcOnrjgqa9mbFxwsSi5NUzaHYjyIraKsMuZFQ9yFJ+6vCqyDo1XEZCDer8ZanPMo5dhbVsRRyLoyXVrst7zZ7EPJWTYGIXYzFWNf26KVPJdfmiZcHIu+zv5SjHJKiVdyGoWkccu6aZnnDQeZ5UqXynRrKOLB1noOs0pmyj3cPszYGsbUjRwjCjTzomZe1KzyhiAQHaaiE7Od5zUKTxwqRqFmXhi+trdgEIcPtFouTRPypiUKwXvFNIlZ5YW8rA9j1qWhMZ6TvObN45y8NkRac21r8MAT8jS0b9FpLZ3OnK8rw3gQsLcsRV/mQd5qMSicZl0bJhIqPMsa5jTcOSkepH89NRYAb6Ws7cIw1qVhnle8eZKzM02oW8fNw7W0l07f5e5xSRxp5mXLvGwlFa71LIqGrBKtoaOspnXIhKWTrDZ7y4q2mxgYJiGlcdw+zlCI1lzVSmrOo1VN2RjGg4iNNOHiNHlwvlnV8vpRjvOKi5P4bd4L95cVq9qwv6rZLxwXK8MoCjGdISIvGqrWMUljtofiLaGxfOXOHKXkeeSVSw7j4HBVUdSWMNKkgWJeVOSN4cIo4SRrcZYH3h29B0PPo1Gws5lwcZaShJqyDtgYRdw+WGHP2WRpZIEzAi+5WA+DAPIa6hY2JwFaSfz3KLYMuzi/edlwtJYcq4NQXgw20oCyktSQ3iLx3XWLcYpv3V8xTWPiSKGc5qSsaVvpsPNCM47FlTyMFPOswnvHdpoQIumSklDz5knG60cZYezJcsc4CamdB2/IyobWgzqWa7IqIPIOj+JwVZBXjiSEJI7QAWwmEd5ayRIQlgyHEVXraBvLopQZK63AGEcUaVZlw7JuuTiMGMcBrQ0oTEXdGhaFpAHzzmFRDCRbG8lQhDPz2rAoW1ZFS2Mcbxxn6ACsd+wtS8xcZmnnWUMUK1ZFJS+2UUiRWq5MU+qFJVKaOBSxmeubKaux4vtemHJ/JXG3s6XlqCi7hyfN3VnBp66MWRSGvUXFLK9I7mhupBnf/9IWWWOw3rGoDHXdkpUON0pYli1F0ZI1htYamtrKS0wrOeivTCVtUWWtZBPQis98ZIvGiJv+umrZHMSkUUA0kplf62FnlDDLKu7PPctM0m8d5TVpqEnDkNEgYJyEWO3RVowQpnW0TqEaSAdwbTqgMo669ZjWsC5aikDCJpJQcaqkvzWQWNlVLbOnbeKZDkPSQHOY1UySgK2RuCAfrWreOMppWo/Wkm3i45dGVK0jb1ryypI1La3xvDwZEgYB4VFA3bScFA1VLZbiUAW8cGHAtY2UcFvxj2823LqfcZBV1K0IShrjuX4hJSuNhCUBi9qwvyp59SBiUcpMZt2K4efjlyVtVdW0HGYl95YFx+uG2IJfVlyZ1hyvSwItDzmLvOXaxoCDVfVgZur7XpzitWYci1EhQDMIFQelI1CON2clm4OAWdawMY5QEk0AGhZ5w0lRc2ki7n8OmQUbJhHTAcxzQ9ta5lktaXPjgFUp7vmLqmWahKytZ1W3ZKXhcFFLjG+ouLw15HtGCfuLgnttSVa0Z8I7GhywPYg4SEOubAzIGvEgqo2haCyrSkQA50UX89g91LjWsyrFS8Fr2EgjTrKa47wiCUKOMjHGbg0TtBIXxbsnBQfLgsoanNU4ZclKzd6qwhhLEgS4yLG7zDBGsR41KB3wshcBrnkhebTvz0r2FgXOe7JCdBwWZcOtgzXDRBTDB0mEcY7jRcXdRY5zohmhA82nrm68bfYyUnB/WbKsHIFucMqjvWVZNtyZlRwsSpa15Xsuj6gaz3FWUraevG74+OUR4SRG4UmiMS9sDZmkEQp58GiNePHEQUDrHfdPSjbGMfO8YW9ZsapbijplnpeIw0hLqJSIzRrH/qriKFPktQhNLcuSnXHEnVlB4x3eKl7YHnJ5GrM9GdIaS6w1hBBoxbxsOF5VeDTDSLOqWvbmNYH2jIcxiXdsxCGLomavm4EdJyEK2JkmqG4GrGw8B+taZuimAy5OEm4drGW2qXHklQiFraqWa9NU9Gbylt15xaIQDw5QNE5czqdpxPYoxilYFC1Z47gw1Hz57upBFpFV3jAdRcyyhiuTlNIalpUmrwy3ZxkoaHLL/qLiMKupW4P2mmESMh2FbKQho4GmsrCdRhxnNXdPSpJQPEQU4u587yTj7qJikRvmlWd+MGdZWm4drPnU1QkvbI9ovcdWYjwNOy+Vw3VJY2AjFQ+r46whirTkc3eenVHE4brhyjQl0orDytEYy8HSsTEI+PilMdZ5sqplkUuIy1FWs6oaZnlNFCmsg2XVYiwP0j1vDkLwiuNMBOy2xglVK8bxonbMy4bDrOKwKLkzL/j01Q0CbdkYRATKUzlPCKyLmt+5t+IkEy2oylouDBIujVOKuqBuxRNmXTUk3ay66V5oHKItVbWGN09yisYyHYRUjeXiJCYrHIMwZDqKsM6xqkR89NZ+zuYoZGsU88LmgDdnNauiZW+e83uvb3Yp+DRHqwrrYmZr6fd4xSxruLyRSFaqRLMoDU7JuNFYmCjP3qJgb16iqVhUDZ95KXkw43oaziUu04qwM+Cti4ZvLEv2c8NX7swxzrO/qDnISiZpxCgKeOXKhCsbKauy5dI4IW8ajteeRVmTFS1xIi90i6JhmsRMU/FeGYQSnrauDF4ruX+Gmq1RiFaexsBJXlB14Z9KS/2mYUASGWqjuXNScmEsmj1+Wz0Qhp1lEh52f1nineMLrx5zkFWkiYTUDaOAnfEArzxpGFAZS9nKfXRvXjDLGlrvqWtH3ZrOZdyyvwyIwyGZd5LFRTkCRPcijTVxqJivDcY50khz7yRntq4kpbCzcm9DjHvLsqHxnp2NAdNhROPAWsu399asS9E/OTVi19ZirCLUXgS3Y/EWG6aBpE9vW2aFwVnL795bsK5qlNKUrXijrKuWrG4xTjIIXZq8pcNhrKTWHScxsa4pupDSr99dMUkC7ueeV9qWZd1wcRRzYZzgEU2aZV6zOYjRWgQQ785yVoWE+lzdGDBNIzZGEXEg4uavH66ZlyJo3raeNFLMRpLOepSELMr2QSjpsAuF2B7FvH6YsbsoqIzlaF2S1SL2fpwVjNOYYRJRG0cYafbmFdujiKw2nKxr0CK6myvPjVVDXtbMC8PmIKJxjt9zbRM6jSJpA533ihWR1VXZMs9rxkPJDvHmcc61Lcc3d1eoAJRXTJOAeSn6VLtzj8Xx5lHFSVZxsKzZGobMspqXLoxYFIYXtxJmqwaHY1kYlHPYrQFHq5q8NeLJXLQ0RsLQ9uaSln5RNMyymhe3ByitsN4ThyK6uJGGTIYRRW3YHITYDdGeEi0yuNZKGJdznsY6NkcxzslYdRrK01p5JxrHEcNItkMr7i4K6k6XQSvJMqLRhKE4p59kNW/OChFgrlqcdVwYJ+ytS0ZRSJm3uDTGK/Gu2p1XhIHCKUcX9fGBojcwPEOGccgnL45Y5Q0Hi4oklJmio0VJVLQ0T7if/NTW4ECJwRG7bPBeXB7XRYsDjIXCSSVqbRhGsOVFRTaJApZ5Q95A65FUfUM4XIkmQmmseFasCwKtRbhwVYMWFeitYYzDkdcNDsvOOGLVGGplOM5q6lpefkKgMTLjcpLVZJWI5wBEEUSBxSjNJJGHvraFqoWg7lwYG8txUZPnjkmqQGvuLTJaq1jlFWXjSIMR87XMzoVKkwaaMNBoranqmkkcEShFu/ZsJJZV7akbh9NBJwqTsD1OSaIQ7eErd2fUzrJ/UjNIQpJQkYQBSRwyCRVlrJikCb71aC1xpd7TxYo5Eq1pnGcYBczWDYH2eO/lRdV7cmO5d1LQGs9kEHK4cgxDjfae2kpqpJO8Zm9RMIlDVKC4spFQNwYHNM4zzyry1pI1hvuzEvDUraM2EIcO5xym9RwXDRZwTpS+N0YxgVIcLUUQ7Ga15qWdoTyoeyWpyVZLFOICbJXcEHc8nFQNy3XFtI0IlMxita3EBvtI44wjTMV19vWZzCDem2dopbg9j7m2McRaj1aaYSoPK9Z57s9LsqZlXTYUrbj2DicBsQ4ZxzFN52prjGVdtpTG4WfyQro5kpCO3VlBHAckoUZrxUnWEoTiIl9VEmpzd56zriSmdlmO2ExDdqYDmdmXSVcOlhKvfHeWc28ZEweKJNQUdUukoagdx2txXx9FLXvLkkuT5MHIf3tW0FiLt/KCWbXQtC13T3LKxnJlI2V/3ZA3Ihp2sq45zmtaA6uy5uWLYzZHMdc2BowSze3jUnQbnOdgWTDPFIuqYTIIaIy4VzrrWTUNynsipcjLBqU11nq+vnfCIAwf6GAsi4bKOA7XJUEAL20N2ZtXHAfQGIgjTRwp5mVN0mq+ue8JQtF2MBZ2xhHzvGaW1ewvS+ZZRRSEeCTGOg1DvrG3oG0dt45zLk8ShmnIS9tjdsYxoziksZJdIS8tu4uCcRoxW1dUbSh54x0UxrAxiChry6qosNaSdGKD86LhaNWwqsRw+vFLAxH304rdRUFpDGkQ8GLn5XOwqnj9MMcBdWslQ03TcmGUUrYSKlE0Fl0bDouGcRJQNZZrGwOyquXesmRZGbYGMZvDiG/trRknEQerSh7Osoow0Byvqk6rwbO/cJgAvnBrxsZADI0nu0tWVcso0pRxwGioOF7W4j7eigEwDDVH6wqNzFwqrbg6ifiHNxbkraVsPM45SmMYJQFRF/e9u8ipGsP1TckqoRRY5zg6yshLCZlwVma4WmeZ5Z6jvKY2IuA7jJQcv3AE2vHC1oBZZ2gt6pYiCWitYV4ErCpH3kjmlUESMowCtsYJX7w959b+ipOyQTlJv3a0bvi916dUrbi7v7w9wnhRez9aishsa6AxhmVREUdi+FqV4vJvjCMM4OrmgNoYJkki3l3DhKppKWpHEmqa1hBpxUkhLwhpFJA3Eh51LRoQ65Y7J5LWeT1psc6TNy3ewe4iF/VzD9Mk5CPbI+4uCwZ5yDiVmfJBHFJPEhrr8FXDx3Ym4B2vH+fM1mLET0KZ9VuU0JiaSGtmdcuNQ0V6eg8ylsNVxdYo4WDVMIhCjhYF+/OCSEs8cBRpqsZy6yDjda0oKsMbxwVXpgmt9bx8YcgyN3zvtQkv70yYZTW7ixLn4PbJmhuHEGlN3bZsjhOsd6xqCcP48u0ZL10YkUYBs7xmlokh4fqWePsNE82bJ2vunciMpUZhDFydpEShYjqKWBSi4q81rCvLvVnOsm7ZTEKizRGRVhytau4vqs6YDNtjeWbYnZcsy5or04GEDTqHtZ68shxl4kFykpkHRvC9eUXrjGj44NkepBRNg/NinCwby6pscEpxUtaEGuIwJDcNh6uaYRLinWcjjUlC3Qlv2i4FbUiEFy+oUcyNozXH+1W3b9HRyWvDwbpinL79Ufj05a1pLHsnjm/urVnXlsMTiz9ac3GSssgr9uYl16aeJtasK/Ee/OrdBfdXFbfurymtYSOPGacRYytaUXnjWBU5s6KhaMToNolDaq+YJJr9ZU0cKlonXgUHKxFOXuStePRZ8dQqasebM5mxvXmUUZuhhBN6j7WG2yvRNWk6b88o0qwacb8PjGQ8ykvL916NuHGYoZEsEvOiZXdRcm9WEoYa5z1aiWGrblqUDkSPKdFAQDUWN+8k1njtuDcv2F8UjJKIu4sC6xxFY7k0TVFeM03lmadoDXvzgk9f2+B4XjFMAxqrCbyltXCv062Jw4Ark5SrW0PCQLPKG6zzDFLRFUhDebbMG8skFOPd13cXHOcNidZ87PKYzWFMayRcx7SOjXHK9c0hJ7mIF+I8r89EqPzerKRylqoR7zOlRBfpjRZuHWWMwqgzqFp2FzXgmK0aLCK0eZKvKVuH1gprRAtGaTEEls4SKjih4c2jUgy73nNhnKK8JwwQnQTvUBfGBFgOTMvdLo2hcRJCZp3jYN1wuKzYnsZUjWVj5DHGMx1HvHJJRBYlNKJ6EJaKUmwNY3779jFZZUHDJ3bGTAYxrZO04vOuXYpqh8NacAoaZ7kzz9ELmYC6NJY06LNVRZxKOPYyDwhDyfTSYvFGJgdHachJJiE0x1lD2onUz0uNVp6b+zmNk5ByHQakXZhfHXsOM3mWTtcted0yyxvenOfkZUtlDTvjlGCSgBJNumUheiHKazbSgLyScOvW0eUfEcPW3VnOomi5v6y6jBywe6LwiDBkpMVo7714l8izbMU4lex4k2HANIkggPuLusuUYZnnJa8eNFS14/6q4HqnpTaOJWX9CxdGhErDVfDO8fLOqEsNKs8GcfjB0WF4IgODUuongP8eCID/1Xv/Xz70fQL8CvADwAz4I9772913Pw/8CcTA8x9773/tmZ39+4xxGvIvvXKZT17doKjlRadqDXeO1uTNMVlNp8gM8xrMO++SU4NW0RkdtHmbrwMALYCDuoa6bYCW2mi8k9lEDzTASQFlUxMSsapa8hpKJxuf3ecsq7mvaqyCQCPucwmkgYhENjUUFpyIe0PrOSnaB9eju/MOLAR4Am1JA2isxyLXrR2YxnBoDWUJFVAXnnVVMMtkBxooW1iVS7SGOACCgEmsOVqLa9xJJm6Ry0pmMKIwwnRKt2kUEIcBtXEsyoqkCfnGvRl3TiRtYt1CnBl8INc5SSOa7QSt4N5syboyNN5T1fIwsrcsaawlDQKGg4idoQgIzWeQfXWPupHUSl6LsmzTGlQo8ZJ784zaKHCW48KTiscy80JCHXaGKbOqJgl0507rOV6XGMQlbHsUo4MGV3nKquXmfku2aUA74lDS4q2qhllW8Tt35syLFmcM1sNoN2YUK+a5vEQvcsPWOOIoFb0AjcSsNtailaa2LUdZyeY4xBhRbZ/EmlXpibWmxmKMuHIuy4ZEB1gP4yBEacl+cbjOee3+Ul4irQXjO5EjaNqQN+eZKIuHEBBweKHiqKi7bCKGKJL4SY2crwoVo0h3IpXQtg6nPFe3RtROUjDtnRRUFolpLmqch0kSsLsoOVg1tFYewgdRwEnntthYEamMQs2liYj91bXlzXLF7rKmsZY4Crixn+GQDA77q5q8qFnXHt+CyiqmgwilxVsgqxtqq9l/c8bRqqY2EGpYlhWVsYyTmP1ZzpsLiY/P64ZQBxyuCkDRGM83dyXkxAFeyQxhXhkO8xaLxVuFMYZF3jAaJgShZlkbAgVBoNhfVOT1Ma9OYgZRRGsMURiCsxysK14/zkjjiGmkiQNJ86q8GB6Ou/Credly43DFziTmxemQo6Lh3nHBvZUooR9lNc4awkjzWzeOuHJhKPH1Hu7OCsCzrhvqzphprCPWinsnGVXru5nMiNp6DtYSohB4xWgUEgeezUHCINSS4WVRsijF5ZtAk8Zywy+6POV3F5L9IYg8rfEMgoDWe6ZJQJpEHBW1qGEvRUiwagx7i5y8sg+yS0gucDhclXx9d8HX7p2wv6hZVoZBKEr2eeNonSEgwGh4/XBN3Vich7w1zPOGuNPJuDPP2RnGHKwqLk1TTvKWg3XBOq9pnOLSJGYUi6DnnUUBWlEUEje7KBuub6Y0xrMoLY0R42PYKViPkoDDpaFtRP3aOUB70TNBE2rJad7UlkEs3iiXxjHDNGReNBznNa/tZ12KM8eqMBI/nNdiSHWQNw3eeTbTgPvWceNoxaKyrIuGURoTKcVrB0sCrYgDTWNbnHcs85bZuqYwhqpp0UoTRIryqCUKlcS7e8WyWFPUlrp1NE70L4yruboxYGeSMM8167qhbQO+eX/NujLMiopZVuOdGDIvTmIa64gDOF7XHGU1u1nBJAqYpDHzquVwUVAbT9207Hk4XJYoDTuTlHkmHgqXpjGvHXishzgIubGfcW1rIDnTG8PdeS7ChGFAmYMftA9SESpd87XdOVenA8q2ezlXCucsi8JzUlW0VhGFMM9qklJTW8nm4FwXHrb23JtB1Xq+fFvz4oURQaiw1vOtgzWvH+QsqgbjHbNVTWktoQq4WhmyWuJ9l2XDIm84Wre8sD1kXbbcOl5TtIZYweVpSqDEO2zcPfAv84qsajDWoHWns1GJkS4JNQGKN44kneBRJ8B2YXKBOFAo7TFOEwUSk3/zoOHVgzWJ9txflnzy6pSqccSBIqss9ztBwqo23K8NR0XNoqhZFC2fuDwhiSQl9t15RRrV7IxTpgPLrEv72FjHMNIEWrEoJPOU9RLWQqfxsa4ttw5O2D2RGcutYcyljYTLG0O+vbeibA0bg5ibx0tOlg2Nh5vHGT/8iUsP0tB+e2/Bl24vqI1kCLk0TXhzlrOsauYraO8vGZ+ULItWjDRe6vIrdxYMO8+xrDHU1tJaz71lhlpork5TDvKaZSXhqBcmji/dFmMCSrxHYy1ZucJAk7cNZeuIAkXdOk6WFQZxbw8DJaEfTnQIqspRTiSufndRkNeJeItlFUVlOcxLlJJ74yqr8Srk8mbK7qKkuWmpjaOoHYt1xeZUvB/mRY21nkEUsDmJCVVA3jiC0HN/UXBxHPPyxRHDNKJYiSdMXspT4DgJGacxV6dDrJMY+yjU4ET/INURUTdGHa4bdlclL+gBdduyM015vci7SQmD1q4TNow5zCuWZY23ikujGCYD4lHM4bpinEQUnYC6V5pRLF5IVe1YUFNVltbB2hjmR2uMs7ywOZT03R5WlYgnn5Qy0bYoGlpnOF4bbh+tWWdwrTJsX0g4Xtfcai37WU1RGZzzxFHAxVhjbEgcImmHK8PgpODyZEDrLEkQsqpbAg03D5cUrefCMGKR16zySjy9jKS1vLmfcWV7KBoqlaFqHdZawkDa+cYg5M4s4xu77alEAt/3kRTd9dlVbRlEit+9u5JnktYS6IC7PmOWi8dnbSxZ1fCpK5tMk1BSxbdwtKy7+hfxzOOyxliP1hAoxWytHkwsLsqWxbpiXhm2BhFxN+FxcRiyPY1pvSUONSelZH3IGsOqqJkMYuZ5y8GiIKstlzfFi2tZNoQ65Y2jgmUt96A0FE8K70Vce5k34OH+SUFRW+7Mci5NCslmNIzJW8v1zSFfvbfiYFGxv6pQeALgYzuGRV6zu6xxxlIbQxIPwFu+cndO2Vi0hk9envCxS2PGq5I7b0r4+KJoqNsArOfru3kncup5+cKIixMxiuMVgyBgazNCB5qjZc0wCbjceeho7/nq3pyTTMIdr2wOuJjGTNP4A5emUvl38MlQSgXAa8C/BtwDvgj8Ue/9N8+s8x8B/6z3/k8qpT4H/CHv/R9RSn0a+GvADwLXgL8HfNJ7f17EAJ/97Gf9l770pae8rO8+v/Ebv8GP/uiPvq2sMSJE8o9ePeD/+eoeZWO4M8sZpCH35yVtA8U/pfMJkRf0J/Wa+G4QIMaRp/UCGiDWKs9bRhqPXHOioXFSHgIR8hucHvPchtetPwnBa1g1/6Qh5xTdrXt6PXVXHtEZexDDi+3W1Y9YJ+BUPgmGWnZUdPt1Z85b8da10H133jUMgFECqxoC1YmKducSnjludeY6Bt0+2+5/1x0v6JbTY4+iLjZRQ9GC82L0Ovsbqe5Yvtvf2Xo+HS49MA7FEydQSBo946lbaN1b5zYJYZzKi1/ZiHGpquXabXcs3Z2X6QpW9q3fONKwM5VfOS8dq1p+T91dF7xVV6pbku5vcPp7KEgkMytprElDcZ81Rs7VA97K+UxT2S4eKMpa3E1XpSVv336crQScpHXGIWFQxsAgluuoDAQeoli8DULtwSsa61iV4kiRyP2N1r1VV5NY9t84sEaOmWgwDsYxqABCJb971spvabp9XdqMCJR4NhSVpahbqgasg9p17SSBC+OAdWlZFm+159MM2FsJhBHEOiCJIK8tzoLpGtZwENK2hlayExKF4traGtCRIsEzHIYsc0OgFM56UGJgbB0kSv5ujDTTYYwONdNEU9dixDhaSs5uY8UIupF2aaHiiCiAuhWF3WVmIeiMsU5+pxhpG/GZtpAGUNu3+psHYiUfTscTB7w0Cai9wxjfpYGNcL5lVYu4beghjmCcaGaFwzkxbAYaglBmxiJgWbaoIMQ6x2YKeasYJyKYhhelcOcVL+0Mcc6zLFqSQLNua9aFJegyx+xsDnDOURlDUTRktZMXfK3ZmEQ0raUxFvEGdmgC0jjAOwcorHfkpZHztLAxDIjCgO1RyPGqlX62bvEa0q7NvnJ5zMsXJyyLlpvHGcu6wbZOjIdek9diwPad0PEglPRvGyNFEAbiNeADXtoSQxnGoSItGYm8o+y8moyHonprYEkTGMcBYQBa604sUUJtoi4OOwJW/q2xLQKGoczIRU4M5YHuxiINSRoyTcBbzyiNqYzDWMt8aaictN3WwaWJhAwOTmO/PThryUqLU4pJEnL9QorWAbf2VygVEIeI6J5WzMsWZcWb73Sfp+NtGsH1iyO2hiEaxd4iIy8t69LjvPSzUMFGqgljcf331lDUnmmnN6O9IysbjnOZFR1Ein/m+iaDKOLGUca6LDhcvXXt44EI0nkHTWMJogBtLY2FdSP9ZKDh6mbE9jh94ClwmrLtNNZ7tq7QOmAY604EOAFEuLE1VtKlGk+gHcvC07RQAhdiaRdEIcaKd8Placwwjqidp6kNWW3ZGMZMByHHy5zaKpIo4pM7Iz790iYH84p5Vku2prphUViGiQIrqRDHAxFdnOcNVSXtGyAK4NpmzMd2xiQ6YNFYTvJa+lEnRFmWYjzMK9jZCNkaJNTekJcttfVsDlOmaUgQQlN7Kmeoy4a1cVSNtDuU3FPiJAAHSeIxjWJzElPXhrI1BEqTG4u34qmRRqCUTNlkXXhPEigJ/XDiHdR2Y9YokDHlwlTESa1zLDLTaVfBIJVsH3XpsAq2xwmDNGASiwF6WbVEsSbRnrpVrGpD4Dwbk5ALo5S7swLnwOMYpBHTJOKjF8YkYcCN/TW5aVnkrdR3I55Ho2GEcorCOIZxwLWNhI005f6yoPWiI9S2lrKxDIci7vyR7SEHWc39WcYsM0QhbI1iXt4aM68ajvMG14kgDiLRuxgkIjRdmRblFHcXJXVj0IHm6nbKdhyRGce9WYExFucs40EMShMEmkEo2XqOViVVazBO+liURAS+pfEh5IZgHHJhFIlnh5MQoqy2BEHI1ijEefFstV4m4IZD0WIpaovyCqcdy0wywxStTDwMQ0gTuQfPqgbn5EW4tRBHCmc8UaioGk/jYXsk4WlRKF6FZQtbqUxkbY9SBsOAky71qEKzbGQCo2prtJWUq0XjKBvp/zqAzVHMZBAyCAKWtQHjSdOA7WHKvZOMdWNRzqOVeDw2jUOHCuWlrDKKKPRkpYy/4yTk0kbC9Y0BcSB6Rt/Yn1M3Mhkknraa0Shgfyah2G3rmQwTXriQcmkyYpYVvH64pmwsaRTyySsTLk6G3F/mfH1vQV2Kd/bWSOHRbA4jqlpSWS4Lw8YoIVaeVVmzKB2Bgmka8iOfvEwUh7x6sMZ1ulMXhwmrpmV3XlJ2Gbs+dXHKxY2EIIBv3bxLONliVTbklSUIZHJwEAXM1y07mynTUUASSBaUo6zBGoPxijjUeKdIE80gDPj0lSn7y5rDdUltHR/ZGPC9L23xkQtjXrk04eWL4+fKwKCU+m3v/Wcf+d0TGBj+ReAXvfc/3v3/8wDe+//izDq/1q3zj5VSIbAP7AA/d3bds+udd7wPkoHhlHnW8I9eO2BetXztzgLnPHcWBVVruH1UUJkn82bo6enp6XnrhbGnp6en5/ng1MDfPmadkP55uOfDxyvbKT/7ox/npz/z0gfGwPAkIRLXgbtn/r8H/AvnreO9N0qpJXChK//CQ9tef8Lz/sCwNY75A5++StEYfv8rl3jjOONwVXO0qrl1kHF/LQI4i8pQV478oZnhmLdmmd8tZ2fVe3p6ej4I9MaFnp6enucLxzuP3b1xoefDyI2Tiv/u77/Gx3Ym/MBHPxj5Kt8XIo9KqZ8Ffrb7N1NKvfpens93yEXg+MlWVQqlxCdLKaWU1ugg1PFgjA4ipcPIOyt+VN47vPcqCGPvnVNhnCodinS30g+ZuZR+kIjeOxmnvXfiY+fluHJ41akSqk6nnre2807K5ew6WRSvTrcFvEgsn3V9UV2x5DJT+q1k1Z1bsRJvKt8dpzsL2af33uOdRWmtlHpwTf7B/pQ+Pb7vXG5Ot30Y770/77u3rdep9p29ru8U5xz64ap4H/BwvX0XOD3WI92i3qo7aVfnbP+dRNC803aPPa+n2eacun/44vwj2uXpOZ/9e/Z4Z9f1D23z8Pk9vA/O+f9x+30UD1/7o7Z91HeP4+FrPe+c/8nx5Xwedex3e22P2+cj13XOqa7uz/stHr6Gx637uHN6kmt4kmO+m9/pbLs6b//nnd+T9LN3Opcnvbbztj/vu7Pbv1O9PfK63qHPfydjzKOO+U7/P8yTtKuHx5wnOa9H7f+7eU95+Bze7bGf9Hd7ov2+y3v9eeP6dzp2Przvh/fxJL/Pk7aTR23zbsaTR+3/4fXOu289vO3jrutd1d8jzu9R25433qO1ftxxHjdWPsm1vNP37+Z+8qj9PGmff6dx+J3O8+F9PCnvZox5t/fKs9u86/723XrG33O2+cE/N7vnqvXin/rBnh0fOe+LJzEw7AIvnvn/ha7sUevc60IkNhCxxyfZFu/9XwT+4hOcy/sWpdSXznMT6flg09f9h5e+7j+89HX/4aSv9w8vfd1/eOnr/sNLX/ffGU9ikvki8IpS6qNKqRj4HPD5h9b5PPAz3ec/DPy/3Wzl54HPKaUSpdRHgVeA33o2p97T09PT09PT09PT09PT0/N+4R09GDpNhT8N/Bqiz/LL3vtvKKX+HPAl7/3ngb8E/BWl1E3gBDFC0K33N4BvIqFVf+pxGSR6enp6enp6enp6enp6enqeT55Ig8F7/7eBv/1Q2Z8987kC/p1ztv3zwJ9/inN8XniuQzx6noq+7j+89HX/4aWv+w8nfb1/eOnr/sNLX/cfXvq6/w54xzSVPT09PT09PT09PT09PT09Pe/E+0/6vqenp6enp6enp6enp6en57mjNzA8A5RSP6GUelUpdVMp9XPv9fn0PB1KqReVUv9AKfVNpdQ3lFL/SVf+i0qpXaXUV7rlp85s8/Nd/b+qlPrxM+V923jOUErdVkp9ravjL3Vl20qpX1dK3ej+bnXlSin1P3T1+1Wl1GfO7OdnuvVvKKV+5rzj9bw/UEp9z5m+/RWl1Eop9Wf6fv/BRCn1y0qpQ6XU18+UPbN+rpT6gW4cudlt+16ld+x5iHPq/r9WSn27q9+/pZTa7MpfVkqVZ/r/L53Z5pF1fF476nlvOafen9n4rkQM/ze78l9VIozf8z7gnLr/1TP1flsp9ZWuvO/zzwLvfb88xYIIX94CPgbEwO8Cn36vz6tfnqpOrwKf6T5PgNeATwO/CPxnj1j/0129J8BHu/YQ9G3j+VyA28DFh8r+K+Dnus8/B/yF7vNPAX8Hya38Q8BvduXbwOvd363u89Z7fW398sRtIAD2kRzPfb//AC7A7wM+A3z9TNkz6+dIxqwf6rb5O8BPvtfX3C+PrfsfA8Lu8184U/cvn13vof08so7Pa0f98r6s92c2vgN/A/hc9/mXgP/wvb7mfjm/7h/6/r8B/mz3ue/zz2DpPRienh8EbnrvX/feN8BfB376PT6nnqfAe3/fe//l7vMa+BZw/TGb/DTw1733tff+DeAm0i76tvHB4aeBv9x9/svAv3mm/Fe88AVgUyl1Ffhx4Ne99yfe+znw68BPfJfPuec7518Bbnnv33zMOn2/f47x3v9/SNarszyTft59N/Xef8HLE+evnNlXz3vMo+ree/93vfem+/cLwAuP28c71PF57ajnPeScPn8e72p872ay/wDwf3Tb9/X+PuJxdd/V3b8L/LXH7aPv8++O3sDw9FwH7p75/x6PfxnteY5QSr0MfD/wm13Rn+5cKH/5jAvUeW2gbxvPJx74u0qp31ZK/WxXdtl7f7/7vA9c7j73df/B5HO8/WGj7/cfDp5VP7/efX64vOf54I8js5OnfFQp9TtKqX+olPqRruxxdXxeO+p5f/IsxvcLwOKMkarv888PPwIceO9vnCnr+/xT0hsYenrOQSk1Bv5P4M9471fA/wx8HPjngPuIS1XPB48f9t5/BvhJ4E8ppX7f2S87y3WffucDShc3+weBv9kV9f3+Q0jfzz+cKKV+ATDAX+2K7gMvee+/H/hPgf9dKTV90v317eh9Tz++9/xR3j6h0Pf5Z0BvYHh6doEXz/z/QlfW8xyjlIoQ48Jf9d7/XwDe+wPvvfXeO+B/QVzl4Pw20LeN5xDv/W739xD4W0g9H3Tucaducofd6n3df/D4SeDL3vsD6Pv9h4xn1c93ebuLfd8GngOUUv8+8K8D/173kkDnIj/rPv82En//SR5fx+e1o573Gc9wfJ8hoVPhQ+U972O6+vq3gF89Lev7/LOhNzA8PV8EXunUY2PEtfbz7/E59TwFXTzWXwK+5b3/b8+UXz2z2h8CTtVoPw98TimVKKU+CryCCMH0beM5Qyk1UkpNTj8jwl9fR+rtVCH+Z4D/u/v8eeCPKeGHgGXnJvdrwI8ppbY6l8sf68p63v+8bTaj7/cfKp5JP+++Wymlfqi7n/yxM/vqeR+ilPoJ4D8H/qD3vjhTvqOUCrrPH0P6+evvUMfntaOe9xnPanzvDFL/APjD3fZ9vT8f/KvAt733D0If+j7/jHivVSY/CAuiMP0aYuX6hff6fPrlqevzhxH3pq8CX+mWnwL+CvC1rvzzwNUz2/xCV/+vckYtvG8bz9eCKEP/brd847TOkPjKvw/cAP4esN2VK+B/6ur3a8Bnz+zrjyPCUDeB/+C9vrZ+eaL6HyEzURtnyvp+/wFcECPSfaBFYmn/xLPs58BnkZeVW8D/CKj3+pr75bF1fxOJrT+95/9St+6/3d0LvgJ8Gfg33qmOz2tH/fK+rPdnNr53zw+/1bWlvwkk7/U198v5dd+V/2/An3xo3b7PP4Pl9Ifp6enp6enp6enp6enp6enp+Y7pQyR6enp6enp6enp6enp6enqemt7A0NPT09PT09PT09PT09PT89T0Boaenp6enp6enp6enp6enp6npjcw9PT09PT09PT09PT09PT0PDW9gaGnp6enp6enp6enp6enp+ep6Q0MPT09PT09PT09PT09PT09T01vYOjp6enp6enp6enp6enp6XlqegNDT09PT09PT09PT09PT0/PU/P/A2axXZ3FpcX8AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1296x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "C.plot_progress()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "mnist_test_data = MnistDataset('mnist_dataset/mnist_test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAAEICAYAAACZA4KlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAPV0lEQVR4nO3df5BddXnH8c8HJKUE5Ed3G0MICdhoic4Y6DZpJwzQQS2JdQIWqVicdICGVnCMo4yITuGPTptK0cFawNAwBsaCtAqkivxKnQFpi2wwDQmJgunukHRJdguE8EMD4ekf90SWsPfcm/s7PO/XzJ09e55z7nly4bPn3HPuuV9HhAC89R3Q7QYAdAZhB5Ig7EAShB1IgrADSRB2IAnCvh+yPWT7/XUuG7Z/q8HtNLwueg9hR8fY/jXbK2wP295pe63tBd3uKwvCjk56m6SnJJ0q6XBJX5J0m+2Z3WwqC8K+n7M91/Z/2n7O9ojtr9uetNdiC21vtj1m+yrbB4xb/3zbG20/a/se2zPa1WtEvBgRV0bEUES8FhHfk/Q/kn6nXdvE6wj7/m+3pM9I6pP0+5JOl/TJvZY5S9KApJMkLZJ0viTZXiTpckkfkdQv6UFJt9SzUdvXFn9gJnqsq/M5pkh6l6QN9SyP5pjPxu9/bA9JujAi7p+gtlTSqRFxVvF7SFoQEXcXv39S0h9HxOm2fyDpXyNiRVE7QNILkk6IiOFi3VkR8WQb/g0HSfqBpJ9HxEWtfn68GXv2/Zztd9n+nu2nbT8v6W9U2cuP99S46WFJRxfTMyRds2ePLOkZSZY0rc09HyDpZkm7JF3Szm3hdYR9/3edpE2q7IHfrsphufdaZvq46WMl/W8x/ZSkiyLiiHGPX4+I/6i1UdvX236hyqPqYbltS1ohaYoqRxiv1P9PRTMI+/7vMEnPS3rB9m9L+ssJlrnU9pG2p0v6tKRvF/Ovl/QF2++RJNuH2/5oPRuNiL+IiEOrPN5Tsup1kk6Q9OGIeLnOfyNagLDv/z4n6eOSdkq6Qa8Hebw7Ja2RtFbS91XZsyoibpf0d5JuLd4CrJfUtuvexZn+iyTNkfT0uCOBP23XNvE6TtABSbBnB5Ig7EAShB1IgrADSbytkxvr6+uLGTNmdnKTQCrDw0MaGxvb+3MWkpoMu+0zJF0j6UBJ/xQRy8qWnzFjph56eLCZTQIoMX/eQNVaw4fxtg+U9I+qXJedLelc27MbfT4A7dXMe/a5kp6MiM0RsUvSrarcUQWgBzUT9ml64w0WWzTBDRS2l9getD04OjbaxOYANKPtZ+MjYnlEDETEQH9ff7s3B6CKZsK+VW+8m+qYYh6AHtRM2B+RNMv2ccXXIH1M0qrWtAWg1Rq+9BYRr9q+RNI9qlx6uzEi+HohoEc1dZ09Iu6SdFeLegHQRnxcFkiCsANJEHYgCcIOJEHYgSQIO5AEYQeSIOxAEoQdSIKwA0kQdiAJwg4kQdiBJAg7kARhB5Ig7EAShB1IgrADSRB2IAnCDiRB2IEkOjpkM/Y/Q6Mvltbv37y94ee+cN5xDa+LfceeHUiCsANJEHYgCcIOJEHYgSQIO5AEYQeS4Do7Sm0afb60/qVrHyqt/3LTI1Vr/3LeOaXr3vOp+aV17Jumwm57SNJOSbslvRoRA61oCkDrtWLP/gcRMdaC5wHQRrxnB5JoNuwh6V7ba2wvmWgB20tsD9oeHB0bbXJzABrVbNhPjoiTJC2QdLHtU/ZeICKWR8RARAz09/U3uTkAjWoq7BGxtfi5XdLtkua2oikArddw2G1Ptn3YnmlJH5S0vlWNAWitZs7GT5F0u+09z/PPEXF3S7pCzzhj9tTS+k+uObu0Pvu86udpfvzgptJ1nzv/d0vrR0yeVFrHGzUc9ojYLOl9LewFQBtx6Q1IgrADSRB2IAnCDiRB2IEkuMUVTZl6xMGl9cOPnV61tuPxtaXrPvfSK6V1Lr3tG/bsQBKEHUiCsANJEHYgCcIOJEHYgSQIO5AE19nRlFpDOu/YuK5qbd7ZC0rXndk/uaGeMDH27EAShB1IgrADSRB2IAnCDiRB2IEkCDuQBNfZ0ZQtz71cvsBLO6qWrv+TOa1tBqXYswNJEHYgCcIOJEHYgSQIO5AEYQeSIOxAElxnR6la96t/eOnK0vrBs+dWrXG/emfV3LPbvtH2dtvrx807yvZ9tp8ofh7Z3jYBNKuew/hvSjpjr3mXSVodEbMkrS5+B9DDaoY9Ih6Q9MxesxdJ2nP8tlLSma1tC0CrNXqCbkpEjBTTT0uaUm1B20tsD9oeHB0bbXBzAJrV9Nn4iAhJUVJfHhEDETHQ39ff7OYANKjRsG+zPVWSip/bW9cSgHZoNOyrJC0uphdLurM17QBol5rX2W3fIuk0SX22t0i6QtIySbfZvkDSsKRz2tkk2uflXbtL6+et+HH5Exzy9tLyxq9/dF9bQpvUDHtEnFuldHqLewHQRnxcFkiCsANJEHYgCcIOJEHYgSS4xTW5z39/Y2l9wx3lH6GYd175pbUjJk/a557QHuzZgSQIO5AEYQeSIOxAEoQdSIKwA0kQdiAJrrO/xT374q7S+s1/+43S+jtO3fu7Rt/o7kvm73NP6A727EAShB1IgrADSRB2IAnCDiRB2IEkCDuQBNfZ3wLKrqWfeOmq8pX7Z5aW7/jMKQ10hF7Enh1IgrADSRB2IAnCDiRB2IEkCDuQBGEHkuA6+1vAFff+rGptx5oHS9e96mtLS+vvPvqw0vrIc78ore946ZXSejP+7afbSut29VpE+XM/vPmZ0vrRRx1SWv/yh04orR886cDyBtqg5p7d9o22t9teP27elba32l5bPBa2t00AzarnMP6bkib6upKvRsSc4nFXa9sC0Go1wx4RD0gqP6YB0POaOUF3ie11xWH+kdUWsr3E9qDtwdGx0SY2B6AZjYb9OknvlDRH0oikq6stGBHLI2IgIgb6+/ob3ByAZjUU9ojYFhG7I+I1STdImtvatgC0WkNhtz113K9nSVpfbVkAvaHmdXbbt0g6TVKf7S2SrpB0mu05kkLSkKSL2tci7n58pLR+87IbqhfLLjZLuvTqfy+t/3Xf4aX1HcPDpXX931PVa7Uudtfovan127ztU46/tLR+9vuOKX/+NqgZ9og4d4LZK9rQC4A24uOyQBKEHUiCsANJEHYgCcIOJMEtri3w8q7dpfXhsZdK6xfeNFha33D7HeUNxGslxRp/z4fWlpZ/cci80vpVf/WR8ucvceG84xpet9v+8B8eKq1/7hv/VVo/+9qzW9lOXdizA0kQdiAJwg4kQdiBJAg7kARhB5Ig7EASXGev0xfv2lS1tuK28uvkv9xUXm/2dst3nDLR94FW/Pkfvbt03Q/NmlJan9FX/pXJ3fhK5F5wz6fml9aHRl/sUCf1Y88OJEHYgSQIO5AEYQeSIOxAEoQdSIKwA0lwnb1w8rIfltZL7yl/rfx+dh1Q41r0se8tLf/k2o+X1mf2Ty5/fnRcL/43Yc8OJEHYgSQIO5AEYQeSIOxAEoQdSIKwA0nUM2TzdEk3SZqiyhDNyyPiGttHSfq2pJmqDNt8TkQ8275W26vmd7OX3VNe4zr64i8sKa1f+YFZpfUjJk8qrQP1qGfP/qqkz0bEbEm/J+li27MlXSZpdUTMkrS6+B1Aj6oZ9ogYiYhHi+mdkjZKmiZpkaSVxWIrJZ3Zph4BtMA+vWe3PVPSiZIeljQlIkaK0tOqHOYD6FF1h932oZK+I2lpRDw/vhYRocr7+YnWW2J70Pbg6NhoU80CaFxdYbd9kCpB/1ZEfLeYvc321KI+VdL2idaNiOURMRARA/19/a3oGUADaobdtiWtkLQxIr4yrrRK0uJierGkO1vfHoBWqecW1/mSPiHpMdtri3mXS1om6TbbF0galnROWzrskKu+trThdd9//G+W1nvxdkfkUzPsEfEjSdUuMp/e2nYAtAufoAOSIOxAEoQdSIKwA0kQdiAJwg4kwVdJFy6cd1y3WwDaij07kARhB5Ig7EAShB1IgrADSRB2IAnCDiRB2IEkCDuQBGEHkiDsQBKEHUiCsANJEHYgCcIOJEHYgSQIO5AEYQeSIOxAEoQdSIKwA0kQdiAJwg4kUTPstqfb/qHtx21vsP3pYv6VtrfaXls8Fra/XQCNqmeQiFclfTYiHrV9mKQ1tu8ral+NiL9vX3sAWqVm2CNiRNJIMb3T9kZJ09rdGIDW2qf37LZnSjpR0sPFrEtsr7N9o+0jq6yzxPag7cHRsdHmugXQsLrDbvtQSd+RtDQinpd0naR3Spqjyp7/6onWi4jlETEQEQP9ff3NdwygIXWF3fZBqgT9WxHxXUmKiG0RsTsiXpN0g6S57WsTQLPqORtvSSskbYyIr4ybP3XcYmdJWt/69gC0Sj1n4+dL+oSkx2yvLeZdLulc23MkhaQhSRe1oT8ALVLP2fgfSfIEpbta3w6AduETdEAShB1IgrADSRB2IAnCDiRB2IEkCDuQBGEHkiDsQBKEHUiCsANJEHYgCcIOJEHYgSQcEZ3bmD0qaXjcrD5JYx1rYN/0am+92pdEb41qZW8zImLC73/raNjftHF7MCIGutZAiV7trVf7kuitUZ3qjcN4IAnCDiTR7bAv7/L2y/Rqb73al0RvjepIb119zw6gc7q9ZwfQIYQdSKIrYbd9hu2f2n7S9mXd6KEa20O2HyuGoR7sci832t5ue/24eUfZvs/2E8XPCcfY61JvPTGMd8kw41197bo9/HnH37PbPlDSzyR9QNIWSY9IOjciHu9oI1XYHpI0EBFd/wCG7VMkvSDppoh4bzHvy5KeiYhlxR/KIyPi8z3S25WSXuj2MN7FaEVTxw8zLulMSX+mLr52JX2dow68bt3Ys8+V9GREbI6IXZJulbSoC330vIh4QNIze81eJGllMb1Slf9ZOq5Kbz0hIkYi4tFieqekPcOMd/W1K+mrI7oR9mmSnhr3+xb11njvIele22tsL+l2MxOYEhEjxfTTkqZ0s5kJ1BzGu5P2Gma8Z167RoY/bxYn6N7s5Ig4SdICSRcXh6s9KSrvwXrp2mldw3h3ygTDjP9KN1+7Roc/b1Y3wr5V0vRxvx9TzOsJEbG1+Lld0u3qvaGot+0ZQbf4ub3L/fxKLw3jPdEw4+qB166bw593I+yPSJpl+zjbkyR9TNKqLvTxJrYnFydOZHuypA+q94aiXiVpcTG9WNKdXezlDXplGO9qw4yry69d14c/j4iOPyQtVOWM/M8lfbEbPVTp63hJ/108NnS7N0m3qHJY94oq5zYukPQbklZLekLS/ZKO6qHebpb0mKR1qgRrapd6O1mVQ/R1ktYWj4Xdfu1K+urI68bHZYEkOEEHJEHYgSQIO5AEYQeSIOxAEoQdSIKwA0n8P2CPuWgQoC90AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "record = 43\n",
    "mnist_test_data.plot_image(record)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "image_data = mnist_test_data[record][1]\n",
    "output = C.forward(image_data)\n",
    "pd.DataFrame(output.detach().numpy()).plot(kind='bar', legend=False, ylim=(0,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9165 10000 0.9165\n"
     ]
    }
   ],
   "source": [
    "score = 0\n",
    "total = 0\n",
    "for label, image_data_tensor, target_tensor in mnist_test_data:\n",
    "    answer = C.forward(image_data_tensor).detach().numpy()\n",
    "    if answer.argmax() == label:\n",
    "        score += 1\n",
    "    total += 1\n",
    "print(score, total, score/total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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